Training in progress, epoch 5, checkpoint
Browse files- checkpoint-77935/README.md +202 -0
- checkpoint-77935/adapter_config.json +32 -0
- checkpoint-77935/adapter_model.safetensors +3 -0
- checkpoint-77935/optimizer.pt +3 -0
- checkpoint-77935/rng_state_0.pth +3 -0
- checkpoint-77935/rng_state_1.pth +3 -0
- checkpoint-77935/rng_state_2.pth +3 -0
- checkpoint-77935/rng_state_3.pth +3 -0
- checkpoint-77935/rng_state_4.pth +3 -0
- checkpoint-77935/rng_state_5.pth +3 -0
- checkpoint-77935/rng_state_6.pth +3 -0
- checkpoint-77935/rng_state_7.pth +3 -0
- checkpoint-77935/scheduler.pt +3 -0
- checkpoint-77935/trainer_state.json +1310 -0
- checkpoint-77935/training_args.bin +3 -0
checkpoint-77935/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: deepseek-ai/deepseek-coder-1.3b-base
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
checkpoint-77935/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 32,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 8,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"v_proj",
|
| 27 |
+
"q_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
checkpoint-77935/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:90c937b1ace3d82aea3f5e6f49860052475bf46453933dc31418c5c31455d08c
|
| 3 |
+
size 6304096
|
checkpoint-77935/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52e2cbf94bb46158e43e1ace644eef96a3504190e7a3630e2f7c847fd6ad2a18
|
| 3 |
+
size 12663802
|
checkpoint-77935/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a8a4d2360e35d4d85cb41db334c14b1b9847ea5f3647b6295f51c51efafd049
|
| 3 |
+
size 15984
|
checkpoint-77935/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a9bb38bb308ef3bf8b965ad30339b3ce3bb82e5bc241ae867161e6240cd8c27
|
| 3 |
+
size 15984
|
checkpoint-77935/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c7ba3c84940bb3eefe51970c5ec15a18f9cffb17489013c72edad6eac6fc9c59
|
| 3 |
+
size 15984
|
checkpoint-77935/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c9dce5f6893a8dcbdf2e5dd29a4e985dd8878f58ba0367f7349d4059030fa11
|
| 3 |
+
size 15984
|
checkpoint-77935/rng_state_4.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0be3e6406c3b95455963d008b499949c290aba5664f058767310dcf8cf518bb6
|
| 3 |
+
size 15984
|
checkpoint-77935/rng_state_5.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d0dcfdcff002cf15b3e419666a85940516439de0cde173d4204bb1f1f8f45cf
|
| 3 |
+
size 15984
|
checkpoint-77935/rng_state_6.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8c31ba2ef6534c09ba67dc01c9f1f1246b7165f8bbe87096bf500d330ebd4d88
|
| 3 |
+
size 15984
|
checkpoint-77935/rng_state_7.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:71d1de5498d7f750cda1f4a102b93845faee5cb4b48fa9d729f9691964e789d5
|
| 3 |
+
size 15984
|
checkpoint-77935/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cce3b30420036d6a98353303d6ab8b5347197b80b8d705984f1955b6dc33e2b2
|
| 3 |
+
size 1064
|
checkpoint-77935/trainer_state.json
ADDED
|
@@ -0,0 +1,1310 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 3118,
|
| 6 |
+
"global_step": 77935,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03207801372938988,
|
| 13 |
+
"grad_norm": 0.8564678430557251,
|
| 14 |
+
"learning_rate": 0.0007978657428198713,
|
| 15 |
+
"loss": 0.5444,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06415602745877975,
|
| 20 |
+
"grad_norm": 0.7482010722160339,
|
| 21 |
+
"learning_rate": 0.0007957314856397425,
|
| 22 |
+
"loss": 0.461,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09623404118816963,
|
| 27 |
+
"grad_norm": 0.9299066662788391,
|
| 28 |
+
"learning_rate": 0.0007935929513911166,
|
| 29 |
+
"loss": 0.4262,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.1283120549175595,
|
| 34 |
+
"grad_norm": 0.742969810962677,
|
| 35 |
+
"learning_rate": 0.0007914544171424906,
|
| 36 |
+
"loss": 0.4121,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16039006864694938,
|
| 41 |
+
"grad_norm": 1.0129729509353638,
|
| 42 |
+
"learning_rate": 0.0007893158828938645,
|
| 43 |
+
"loss": 0.3987,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.19246808237633925,
|
| 48 |
+
"grad_norm": 0.7069104313850403,
|
| 49 |
+
"learning_rate": 0.0007871816257137359,
|
| 50 |
+
"loss": 0.385,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.20003849361647527,
|
| 55 |
+
"eval_loss": 0.36575084924697876,
|
| 56 |
+
"eval_runtime": 5.7691,
|
| 57 |
+
"eval_samples_per_second": 86.668,
|
| 58 |
+
"eval_steps_per_second": 5.547,
|
| 59 |
+
"step": 3118
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.22454609610572912,
|
| 63 |
+
"grad_norm": 0.8256860375404358,
|
| 64 |
+
"learning_rate": 0.0007850473685336071,
|
| 65 |
+
"loss": 0.3829,
|
| 66 |
+
"step": 3500
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.256624109835119,
|
| 70 |
+
"grad_norm": 0.9610025882720947,
|
| 71 |
+
"learning_rate": 0.0007829088342849811,
|
| 72 |
+
"loss": 0.3745,
|
| 73 |
+
"step": 4000
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.28870212356450886,
|
| 77 |
+
"grad_norm": 0.9205407500267029,
|
| 78 |
+
"learning_rate": 0.0007807703000363551,
|
| 79 |
+
"loss": 0.3767,
|
| 80 |
+
"step": 4500
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.32078013729389876,
|
| 84 |
+
"grad_norm": 1.0542463064193726,
|
| 85 |
+
"learning_rate": 0.0007786317657877291,
|
| 86 |
+
"loss": 0.3699,
|
| 87 |
+
"step": 5000
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.35285815102328866,
|
| 91 |
+
"grad_norm": 0.8851079344749451,
|
| 92 |
+
"learning_rate": 0.0007764932315391031,
|
| 93 |
+
"loss": 0.3684,
|
| 94 |
+
"step": 5500
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.3849361647526785,
|
| 98 |
+
"grad_norm": 0.8109485507011414,
|
| 99 |
+
"learning_rate": 0.0007743546972904772,
|
| 100 |
+
"loss": 0.3677,
|
| 101 |
+
"step": 6000
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.40007698723295054,
|
| 105 |
+
"eval_loss": 0.34624484181404114,
|
| 106 |
+
"eval_runtime": 5.7422,
|
| 107 |
+
"eval_samples_per_second": 87.074,
|
| 108 |
+
"eval_steps_per_second": 5.573,
|
| 109 |
+
"step": 6236
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.4170141784820684,
|
| 113 |
+
"grad_norm": 0.8642650246620178,
|
| 114 |
+
"learning_rate": 0.0007722161630418511,
|
| 115 |
+
"loss": 0.3578,
|
| 116 |
+
"step": 6500
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.44909219221145824,
|
| 120 |
+
"grad_norm": 0.8750723600387573,
|
| 121 |
+
"learning_rate": 0.0007700776287932251,
|
| 122 |
+
"loss": 0.358,
|
| 123 |
+
"step": 7000
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.48117020594084814,
|
| 127 |
+
"grad_norm": 0.9213278889656067,
|
| 128 |
+
"learning_rate": 0.0007679390945445992,
|
| 129 |
+
"loss": 0.3568,
|
| 130 |
+
"step": 7500
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.513248219670238,
|
| 134 |
+
"grad_norm": 1.209458589553833,
|
| 135 |
+
"learning_rate": 0.0007658048373644704,
|
| 136 |
+
"loss": 0.3509,
|
| 137 |
+
"step": 8000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.5453262333996279,
|
| 141 |
+
"grad_norm": 0.8048808574676514,
|
| 142 |
+
"learning_rate": 0.0007636663031158445,
|
| 143 |
+
"loss": 0.3491,
|
| 144 |
+
"step": 8500
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.5774042471290177,
|
| 148 |
+
"grad_norm": 0.8589063882827759,
|
| 149 |
+
"learning_rate": 0.0007615277688672184,
|
| 150 |
+
"loss": 0.3488,
|
| 151 |
+
"step": 9000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.6001154808494258,
|
| 155 |
+
"eval_loss": 0.3319118916988373,
|
| 156 |
+
"eval_runtime": 5.941,
|
| 157 |
+
"eval_samples_per_second": 84.161,
|
| 158 |
+
"eval_steps_per_second": 5.386,
|
| 159 |
+
"step": 9354
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.6094822608584076,
|
| 163 |
+
"grad_norm": 1.1071431636810303,
|
| 164 |
+
"learning_rate": 0.0007593892346185924,
|
| 165 |
+
"loss": 0.3475,
|
| 166 |
+
"step": 9500
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.6415602745877975,
|
| 170 |
+
"grad_norm": 1.250051736831665,
|
| 171 |
+
"learning_rate": 0.0007572549774384637,
|
| 172 |
+
"loss": 0.3434,
|
| 173 |
+
"step": 10000
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.6736382883171874,
|
| 177 |
+
"grad_norm": 0.9173659682273865,
|
| 178 |
+
"learning_rate": 0.0007551164431898377,
|
| 179 |
+
"loss": 0.3425,
|
| 180 |
+
"step": 10500
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.7057163020465773,
|
| 184 |
+
"grad_norm": 0.9546225666999817,
|
| 185 |
+
"learning_rate": 0.000752982186009709,
|
| 186 |
+
"loss": 0.3415,
|
| 187 |
+
"step": 11000
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.7377943157759671,
|
| 191 |
+
"grad_norm": 0.756817102432251,
|
| 192 |
+
"learning_rate": 0.000750843651761083,
|
| 193 |
+
"loss": 0.3366,
|
| 194 |
+
"step": 11500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.769872329505357,
|
| 198 |
+
"grad_norm": 0.7823662757873535,
|
| 199 |
+
"learning_rate": 0.0007487051175124569,
|
| 200 |
+
"loss": 0.3397,
|
| 201 |
+
"step": 12000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.8001539744659011,
|
| 205 |
+
"eval_loss": 0.33135783672332764,
|
| 206 |
+
"eval_runtime": 5.8442,
|
| 207 |
+
"eval_samples_per_second": 85.554,
|
| 208 |
+
"eval_steps_per_second": 5.475,
|
| 209 |
+
"step": 12472
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.8019503432347469,
|
| 213 |
+
"grad_norm": 1.3129873275756836,
|
| 214 |
+
"learning_rate": 0.000746566583263831,
|
| 215 |
+
"loss": 0.3342,
|
| 216 |
+
"step": 12500
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.8340283569641368,
|
| 220 |
+
"grad_norm": 1.0603216886520386,
|
| 221 |
+
"learning_rate": 0.000744428049015205,
|
| 222 |
+
"loss": 0.3372,
|
| 223 |
+
"step": 13000
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 0.8661063706935267,
|
| 227 |
+
"grad_norm": 0.9776498079299927,
|
| 228 |
+
"learning_rate": 0.0007422895147665791,
|
| 229 |
+
"loss": 0.3343,
|
| 230 |
+
"step": 13500
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.8981843844229165,
|
| 234 |
+
"grad_norm": 0.9603497385978699,
|
| 235 |
+
"learning_rate": 0.000740150980517953,
|
| 236 |
+
"loss": 0.332,
|
| 237 |
+
"step": 14000
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.9302623981523064,
|
| 241 |
+
"grad_norm": 1.0065163373947144,
|
| 242 |
+
"learning_rate": 0.0007380124462693271,
|
| 243 |
+
"loss": 0.335,
|
| 244 |
+
"step": 14500
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.9623404118816963,
|
| 248 |
+
"grad_norm": 0.947246789932251,
|
| 249 |
+
"learning_rate": 0.0007358739120207011,
|
| 250 |
+
"loss": 0.3322,
|
| 251 |
+
"step": 15000
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.9944184256110862,
|
| 255 |
+
"grad_norm": 1.138590693473816,
|
| 256 |
+
"learning_rate": 0.0007337396548405722,
|
| 257 |
+
"loss": 0.3329,
|
| 258 |
+
"step": 15500
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 1.0001924680823764,
|
| 262 |
+
"eval_loss": 0.3191450238227844,
|
| 263 |
+
"eval_runtime": 5.9188,
|
| 264 |
+
"eval_samples_per_second": 84.477,
|
| 265 |
+
"eval_steps_per_second": 5.407,
|
| 266 |
+
"step": 15590
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 1.026496439340476,
|
| 270 |
+
"grad_norm": 1.0730034112930298,
|
| 271 |
+
"learning_rate": 0.0007316053976604436,
|
| 272 |
+
"loss": 0.3214,
|
| 273 |
+
"step": 16000
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 1.058574453069866,
|
| 277 |
+
"grad_norm": 1.155540108680725,
|
| 278 |
+
"learning_rate": 0.0007294668634118175,
|
| 279 |
+
"loss": 0.3203,
|
| 280 |
+
"step": 16500
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 1.0906524667992559,
|
| 284 |
+
"grad_norm": 1.322080373764038,
|
| 285 |
+
"learning_rate": 0.0007273283291631916,
|
| 286 |
+
"loss": 0.32,
|
| 287 |
+
"step": 17000
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 1.1227304805286458,
|
| 291 |
+
"grad_norm": 1.028536319732666,
|
| 292 |
+
"learning_rate": 0.0007251897949145656,
|
| 293 |
+
"loss": 0.3206,
|
| 294 |
+
"step": 17500
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 1.1548084942580354,
|
| 298 |
+
"grad_norm": 1.0141762495040894,
|
| 299 |
+
"learning_rate": 0.0007230512606659396,
|
| 300 |
+
"loss": 0.3246,
|
| 301 |
+
"step": 18000
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 1.1868865079874253,
|
| 305 |
+
"grad_norm": 1.2617709636688232,
|
| 306 |
+
"learning_rate": 0.0007209127264173135,
|
| 307 |
+
"loss": 0.3179,
|
| 308 |
+
"step": 18500
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 1.2002309616988516,
|
| 312 |
+
"eval_loss": 0.3040919303894043,
|
| 313 |
+
"eval_runtime": 5.8325,
|
| 314 |
+
"eval_samples_per_second": 85.727,
|
| 315 |
+
"eval_steps_per_second": 5.487,
|
| 316 |
+
"step": 18708
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 1.2189645217168152,
|
| 320 |
+
"grad_norm": 0.9643025398254395,
|
| 321 |
+
"learning_rate": 0.0007187741921686877,
|
| 322 |
+
"loss": 0.3131,
|
| 323 |
+
"step": 19000
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 1.2510425354462051,
|
| 327 |
+
"grad_norm": 0.8644528388977051,
|
| 328 |
+
"learning_rate": 0.0007166399349885588,
|
| 329 |
+
"loss": 0.3197,
|
| 330 |
+
"step": 19500
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 1.283120549175595,
|
| 334 |
+
"grad_norm": 1.0242154598236084,
|
| 335 |
+
"learning_rate": 0.000714501400739933,
|
| 336 |
+
"loss": 0.3189,
|
| 337 |
+
"step": 20000
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 1.315198562904985,
|
| 341 |
+
"grad_norm": 0.7361490726470947,
|
| 342 |
+
"learning_rate": 0.0007123628664913069,
|
| 343 |
+
"loss": 0.3147,
|
| 344 |
+
"step": 20500
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 1.3472765766343748,
|
| 348 |
+
"grad_norm": 0.9061699509620667,
|
| 349 |
+
"learning_rate": 0.0007102243322426809,
|
| 350 |
+
"loss": 0.3168,
|
| 351 |
+
"step": 21000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 1.3793545903637647,
|
| 355 |
+
"grad_norm": 0.7674645781517029,
|
| 356 |
+
"learning_rate": 0.000708085797994055,
|
| 357 |
+
"loss": 0.3144,
|
| 358 |
+
"step": 21500
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 1.400269455315327,
|
| 362 |
+
"eval_loss": 0.303521990776062,
|
| 363 |
+
"eval_runtime": 5.9543,
|
| 364 |
+
"eval_samples_per_second": 83.973,
|
| 365 |
+
"eval_steps_per_second": 5.374,
|
| 366 |
+
"step": 21826
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.4114326040931546,
|
| 370 |
+
"grad_norm": 1.2573202848434448,
|
| 371 |
+
"learning_rate": 0.0007059472637454289,
|
| 372 |
+
"loss": 0.3182,
|
| 373 |
+
"step": 22000
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.4435106178225445,
|
| 377 |
+
"grad_norm": 0.7668033838272095,
|
| 378 |
+
"learning_rate": 0.0007038087294968029,
|
| 379 |
+
"loss": 0.3087,
|
| 380 |
+
"step": 22500
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.4755886315519344,
|
| 384 |
+
"grad_norm": 0.7923159003257751,
|
| 385 |
+
"learning_rate": 0.0007016701952481769,
|
| 386 |
+
"loss": 0.3136,
|
| 387 |
+
"step": 23000
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.5076666452813243,
|
| 391 |
+
"grad_norm": 0.9079853296279907,
|
| 392 |
+
"learning_rate": 0.000699531660999551,
|
| 393 |
+
"loss": 0.3136,
|
| 394 |
+
"step": 23500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.5397446590107142,
|
| 398 |
+
"grad_norm": 0.807373583316803,
|
| 399 |
+
"learning_rate": 0.0006973974038194221,
|
| 400 |
+
"loss": 0.3129,
|
| 401 |
+
"step": 24000
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.571822672740104,
|
| 405 |
+
"grad_norm": 1.0894283056259155,
|
| 406 |
+
"learning_rate": 0.0006952588695707963,
|
| 407 |
+
"loss": 0.3122,
|
| 408 |
+
"step": 24500
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.6003079489318022,
|
| 412 |
+
"eval_loss": 0.30009227991104126,
|
| 413 |
+
"eval_runtime": 5.9543,
|
| 414 |
+
"eval_samples_per_second": 83.973,
|
| 415 |
+
"eval_steps_per_second": 5.374,
|
| 416 |
+
"step": 24944
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.6039006864694938,
|
| 420 |
+
"grad_norm": 0.8650055527687073,
|
| 421 |
+
"learning_rate": 0.0006931203353221702,
|
| 422 |
+
"loss": 0.3128,
|
| 423 |
+
"step": 25000
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.6359787001988837,
|
| 427 |
+
"grad_norm": 1.0704525709152222,
|
| 428 |
+
"learning_rate": 0.0006909818010735442,
|
| 429 |
+
"loss": 0.3152,
|
| 430 |
+
"step": 25500
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.6680567139282736,
|
| 434 |
+
"grad_norm": 1.6046242713928223,
|
| 435 |
+
"learning_rate": 0.0006888518209619127,
|
| 436 |
+
"loss": 0.3153,
|
| 437 |
+
"step": 26000
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.7001347276576635,
|
| 441 |
+
"grad_norm": 0.891106367111206,
|
| 442 |
+
"learning_rate": 0.0006867132867132868,
|
| 443 |
+
"loss": 0.3123,
|
| 444 |
+
"step": 26500
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.7322127413870532,
|
| 448 |
+
"grad_norm": 0.8591095805168152,
|
| 449 |
+
"learning_rate": 0.0006845747524646608,
|
| 450 |
+
"loss": 0.31,
|
| 451 |
+
"step": 27000
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.764290755116443,
|
| 455 |
+
"grad_norm": 0.8793129920959473,
|
| 456 |
+
"learning_rate": 0.0006824362182160348,
|
| 457 |
+
"loss": 0.3135,
|
| 458 |
+
"step": 27500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.796368768845833,
|
| 462 |
+
"grad_norm": 0.9400936961174011,
|
| 463 |
+
"learning_rate": 0.0006802976839674088,
|
| 464 |
+
"loss": 0.3077,
|
| 465 |
+
"step": 28000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.8003464425482774,
|
| 469 |
+
"eval_loss": 0.29524701833724976,
|
| 470 |
+
"eval_runtime": 5.9571,
|
| 471 |
+
"eval_samples_per_second": 83.934,
|
| 472 |
+
"eval_steps_per_second": 5.372,
|
| 473 |
+
"step": 28062
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.8284467825752229,
|
| 477 |
+
"grad_norm": 0.7908840775489807,
|
| 478 |
+
"learning_rate": 0.0006781591497187827,
|
| 479 |
+
"loss": 0.309,
|
| 480 |
+
"step": 28500
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.8605247963046128,
|
| 484 |
+
"grad_norm": 1.1478577852249146,
|
| 485 |
+
"learning_rate": 0.0006760206154701568,
|
| 486 |
+
"loss": 0.305,
|
| 487 |
+
"step": 29000
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 1.8926028100340027,
|
| 491 |
+
"grad_norm": 0.7777372598648071,
|
| 492 |
+
"learning_rate": 0.0006738820812215308,
|
| 493 |
+
"loss": 0.3092,
|
| 494 |
+
"step": 29500
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.9246808237633926,
|
| 498 |
+
"grad_norm": 0.8342514634132385,
|
| 499 |
+
"learning_rate": 0.000671747824041402,
|
| 500 |
+
"loss": 0.306,
|
| 501 |
+
"step": 30000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.9567588374927825,
|
| 505 |
+
"grad_norm": 0.9895392060279846,
|
| 506 |
+
"learning_rate": 0.0006696092897927761,
|
| 507 |
+
"loss": 0.3128,
|
| 508 |
+
"step": 30500
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 1.9888368512221724,
|
| 512 |
+
"grad_norm": 1.0536723136901855,
|
| 513 |
+
"learning_rate": 0.0006674750326126473,
|
| 514 |
+
"loss": 0.3066,
|
| 515 |
+
"step": 31000
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.0003849361647528,
|
| 519 |
+
"eval_loss": 0.2923731803894043,
|
| 520 |
+
"eval_runtime": 6.0971,
|
| 521 |
+
"eval_samples_per_second": 82.007,
|
| 522 |
+
"eval_steps_per_second": 5.248,
|
| 523 |
+
"step": 31180
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 2.0209148649515623,
|
| 527 |
+
"grad_norm": 1.40830397605896,
|
| 528 |
+
"learning_rate": 0.0006653364983640213,
|
| 529 |
+
"loss": 0.2977,
|
| 530 |
+
"step": 31500
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 2.052992878680952,
|
| 534 |
+
"grad_norm": 1.0089466571807861,
|
| 535 |
+
"learning_rate": 0.0006631979641153954,
|
| 536 |
+
"loss": 0.2961,
|
| 537 |
+
"step": 32000
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 2.085070892410342,
|
| 541 |
+
"grad_norm": 0.854210376739502,
|
| 542 |
+
"learning_rate": 0.0006610594298667693,
|
| 543 |
+
"loss": 0.294,
|
| 544 |
+
"step": 32500
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 2.117148906139732,
|
| 548 |
+
"grad_norm": 1.0218485593795776,
|
| 549 |
+
"learning_rate": 0.0006589251726866407,
|
| 550 |
+
"loss": 0.2958,
|
| 551 |
+
"step": 33000
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 2.149226919869122,
|
| 555 |
+
"grad_norm": 0.9581003189086914,
|
| 556 |
+
"learning_rate": 0.0006567866384380146,
|
| 557 |
+
"loss": 0.2998,
|
| 558 |
+
"step": 33500
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 2.1813049335985117,
|
| 562 |
+
"grad_norm": 0.9771293997764587,
|
| 563 |
+
"learning_rate": 0.0006546481041893886,
|
| 564 |
+
"loss": 0.2954,
|
| 565 |
+
"step": 34000
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 2.200423429781228,
|
| 569 |
+
"eval_loss": 0.2844325006008148,
|
| 570 |
+
"eval_runtime": 5.9595,
|
| 571 |
+
"eval_samples_per_second": 83.9,
|
| 572 |
+
"eval_steps_per_second": 5.37,
|
| 573 |
+
"step": 34298
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 2.2133829473279016,
|
| 577 |
+
"grad_norm": 1.3172814846038818,
|
| 578 |
+
"learning_rate": 0.0006525095699407627,
|
| 579 |
+
"loss": 0.2971,
|
| 580 |
+
"step": 34500
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 2.2454609610572915,
|
| 584 |
+
"grad_norm": 1.260122537612915,
|
| 585 |
+
"learning_rate": 0.0006503710356921366,
|
| 586 |
+
"loss": 0.2931,
|
| 587 |
+
"step": 35000
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 2.2775389747866814,
|
| 591 |
+
"grad_norm": 0.8652594089508057,
|
| 592 |
+
"learning_rate": 0.0006482325014435106,
|
| 593 |
+
"loss": 0.2941,
|
| 594 |
+
"step": 35500
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 2.309616988516071,
|
| 598 |
+
"grad_norm": 0.9302785396575928,
|
| 599 |
+
"learning_rate": 0.0006460982442633819,
|
| 600 |
+
"loss": 0.2951,
|
| 601 |
+
"step": 36000
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 2.341695002245461,
|
| 605 |
+
"grad_norm": 1.0370172262191772,
|
| 606 |
+
"learning_rate": 0.0006439597100147559,
|
| 607 |
+
"loss": 0.2951,
|
| 608 |
+
"step": 36500
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 2.3737730159748507,
|
| 612 |
+
"grad_norm": 0.6764707565307617,
|
| 613 |
+
"learning_rate": 0.0006418211757661299,
|
| 614 |
+
"loss": 0.2946,
|
| 615 |
+
"step": 37000
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 2.400461923397703,
|
| 619 |
+
"eval_loss": 0.2868812382221222,
|
| 620 |
+
"eval_runtime": 5.9808,
|
| 621 |
+
"eval_samples_per_second": 83.601,
|
| 622 |
+
"eval_steps_per_second": 5.35,
|
| 623 |
+
"step": 37416
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 2.4058510297042406,
|
| 627 |
+
"grad_norm": 0.9105328917503357,
|
| 628 |
+
"learning_rate": 0.000639682641517504,
|
| 629 |
+
"loss": 0.2966,
|
| 630 |
+
"step": 37500
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 2.4379290434336305,
|
| 634 |
+
"grad_norm": 0.8954421281814575,
|
| 635 |
+
"learning_rate": 0.0006375441072688779,
|
| 636 |
+
"loss": 0.2949,
|
| 637 |
+
"step": 38000
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 2.4700070571630204,
|
| 641 |
+
"grad_norm": 0.798809826374054,
|
| 642 |
+
"learning_rate": 0.000635405573020252,
|
| 643 |
+
"loss": 0.2923,
|
| 644 |
+
"step": 38500
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 2.5020850708924103,
|
| 648 |
+
"grad_norm": 1.027869701385498,
|
| 649 |
+
"learning_rate": 0.000633267038771626,
|
| 650 |
+
"loss": 0.2988,
|
| 651 |
+
"step": 39000
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 2.5341630846218,
|
| 655 |
+
"grad_norm": 1.412424921989441,
|
| 656 |
+
"learning_rate": 0.000631128504523,
|
| 657 |
+
"loss": 0.2876,
|
| 658 |
+
"step": 39500
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 2.56624109835119,
|
| 662 |
+
"grad_norm": 0.8323147296905518,
|
| 663 |
+
"learning_rate": 0.0006289942473428712,
|
| 664 |
+
"loss": 0.2873,
|
| 665 |
+
"step": 40000
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 2.59831911208058,
|
| 669 |
+
"grad_norm": 1.2047405242919922,
|
| 670 |
+
"learning_rate": 0.0006268599901627425,
|
| 671 |
+
"loss": 0.2876,
|
| 672 |
+
"step": 40500
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 2.6005004170141786,
|
| 676 |
+
"eval_loss": 0.2851209044456482,
|
| 677 |
+
"eval_runtime": 5.8822,
|
| 678 |
+
"eval_samples_per_second": 85.002,
|
| 679 |
+
"eval_steps_per_second": 5.44,
|
| 680 |
+
"step": 40534
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 2.63039712580997,
|
| 684 |
+
"grad_norm": 0.9327086806297302,
|
| 685 |
+
"learning_rate": 0.0006247214559141165,
|
| 686 |
+
"loss": 0.2948,
|
| 687 |
+
"step": 41000
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 2.6624751395393598,
|
| 691 |
+
"grad_norm": 0.9470818638801575,
|
| 692 |
+
"learning_rate": 0.0006225829216654905,
|
| 693 |
+
"loss": 0.2909,
|
| 694 |
+
"step": 41500
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 2.6945531532687497,
|
| 698 |
+
"grad_norm": 1.1972421407699585,
|
| 699 |
+
"learning_rate": 0.0006204486644853617,
|
| 700 |
+
"loss": 0.2953,
|
| 701 |
+
"step": 42000
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 2.7266311669981396,
|
| 705 |
+
"grad_norm": 0.9601694345474243,
|
| 706 |
+
"learning_rate": 0.0006183101302367357,
|
| 707 |
+
"loss": 0.2901,
|
| 708 |
+
"step": 42500
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 2.7587091807275295,
|
| 712 |
+
"grad_norm": 0.796318531036377,
|
| 713 |
+
"learning_rate": 0.0006161715959881098,
|
| 714 |
+
"loss": 0.2879,
|
| 715 |
+
"step": 43000
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 2.7907871944569194,
|
| 719 |
+
"grad_norm": 1.1968493461608887,
|
| 720 |
+
"learning_rate": 0.0006140330617394838,
|
| 721 |
+
"loss": 0.2917,
|
| 722 |
+
"step": 43500
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 2.800538910630654,
|
| 726 |
+
"eval_loss": 0.2793387174606323,
|
| 727 |
+
"eval_runtime": 5.7736,
|
| 728 |
+
"eval_samples_per_second": 86.601,
|
| 729 |
+
"eval_steps_per_second": 5.542,
|
| 730 |
+
"step": 43652
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 2.8228652081863093,
|
| 734 |
+
"grad_norm": 0.9883773326873779,
|
| 735 |
+
"learning_rate": 0.0006118945274908578,
|
| 736 |
+
"loss": 0.2864,
|
| 737 |
+
"step": 44000
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 2.8549432219156987,
|
| 741 |
+
"grad_norm": 0.7262638807296753,
|
| 742 |
+
"learning_rate": 0.0006097559932422318,
|
| 743 |
+
"loss": 0.2867,
|
| 744 |
+
"step": 44500
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 2.887021235645089,
|
| 748 |
+
"grad_norm": 0.9277000427246094,
|
| 749 |
+
"learning_rate": 0.0006076174589936059,
|
| 750 |
+
"loss": 0.2901,
|
| 751 |
+
"step": 45000
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 2.9190992493744785,
|
| 755 |
+
"grad_norm": 0.9092797636985779,
|
| 756 |
+
"learning_rate": 0.0006054789247449798,
|
| 757 |
+
"loss": 0.289,
|
| 758 |
+
"step": 45500
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 2.951177263103869,
|
| 762 |
+
"grad_norm": 1.1064151525497437,
|
| 763 |
+
"learning_rate": 0.0006033403904963538,
|
| 764 |
+
"loss": 0.2925,
|
| 765 |
+
"step": 46000
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.9832552768332583,
|
| 769 |
+
"grad_norm": 1.2269039154052734,
|
| 770 |
+
"learning_rate": 0.0006012018562477279,
|
| 771 |
+
"loss": 0.284,
|
| 772 |
+
"step": 46500
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 3.000577404247129,
|
| 776 |
+
"eval_loss": 0.2754272520542145,
|
| 777 |
+
"eval_runtime": 5.798,
|
| 778 |
+
"eval_samples_per_second": 86.237,
|
| 779 |
+
"eval_steps_per_second": 5.519,
|
| 780 |
+
"step": 46770
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 3.015333290562648,
|
| 784 |
+
"grad_norm": 0.8195134401321411,
|
| 785 |
+
"learning_rate": 0.0005990633219991018,
|
| 786 |
+
"loss": 0.2817,
|
| 787 |
+
"step": 47000
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 3.047411304292038,
|
| 791 |
+
"grad_norm": 0.6603811383247375,
|
| 792 |
+
"learning_rate": 0.0005969290648189731,
|
| 793 |
+
"loss": 0.2763,
|
| 794 |
+
"step": 47500
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 3.079489318021428,
|
| 798 |
+
"grad_norm": 1.3445206880569458,
|
| 799 |
+
"learning_rate": 0.0005947905305703471,
|
| 800 |
+
"loss": 0.2766,
|
| 801 |
+
"step": 48000
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 3.111567331750818,
|
| 805 |
+
"grad_norm": 0.9091941118240356,
|
| 806 |
+
"learning_rate": 0.0005926519963217211,
|
| 807 |
+
"loss": 0.276,
|
| 808 |
+
"step": 48500
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 3.143645345480208,
|
| 812 |
+
"grad_norm": 0.9965337514877319,
|
| 813 |
+
"learning_rate": 0.0005905134620730951,
|
| 814 |
+
"loss": 0.2795,
|
| 815 |
+
"step": 49000
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 3.1757233592095977,
|
| 819 |
+
"grad_norm": 0.9587671160697937,
|
| 820 |
+
"learning_rate": 0.0005883749278244692,
|
| 821 |
+
"loss": 0.2752,
|
| 822 |
+
"step": 49500
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 3.2006158978636043,
|
| 826 |
+
"eval_loss": 0.27157729864120483,
|
| 827 |
+
"eval_runtime": 5.9339,
|
| 828 |
+
"eval_samples_per_second": 84.261,
|
| 829 |
+
"eval_steps_per_second": 5.393,
|
| 830 |
+
"step": 49888
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 3.2078013729389876,
|
| 834 |
+
"grad_norm": 1.0777298212051392,
|
| 835 |
+
"learning_rate": 0.0005862363935758431,
|
| 836 |
+
"loss": 0.2774,
|
| 837 |
+
"step": 50000
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 3.2398793866683775,
|
| 841 |
+
"grad_norm": 1.258832335472107,
|
| 842 |
+
"learning_rate": 0.0005840978593272172,
|
| 843 |
+
"loss": 0.2731,
|
| 844 |
+
"step": 50500
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 3.2719574003977674,
|
| 848 |
+
"grad_norm": 0.8360182642936707,
|
| 849 |
+
"learning_rate": 0.0005819593250785912,
|
| 850 |
+
"loss": 0.2741,
|
| 851 |
+
"step": 51000
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 3.3040354141271573,
|
| 855 |
+
"grad_norm": 0.8642995357513428,
|
| 856 |
+
"learning_rate": 0.0005798250678984624,
|
| 857 |
+
"loss": 0.2764,
|
| 858 |
+
"step": 51500
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 3.336113427856547,
|
| 862 |
+
"grad_norm": 0.8430376052856445,
|
| 863 |
+
"learning_rate": 0.0005776865336498364,
|
| 864 |
+
"loss": 0.276,
|
| 865 |
+
"step": 52000
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 3.368191441585937,
|
| 869 |
+
"grad_norm": 1.0088149309158325,
|
| 870 |
+
"learning_rate": 0.0005755479994012104,
|
| 871 |
+
"loss": 0.2772,
|
| 872 |
+
"step": 52500
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 3.400269455315327,
|
| 876 |
+
"grad_norm": 1.1767189502716064,
|
| 877 |
+
"learning_rate": 0.0005734094651525844,
|
| 878 |
+
"loss": 0.2728,
|
| 879 |
+
"step": 53000
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 3.4006543914800798,
|
| 883 |
+
"eval_loss": 0.26524877548217773,
|
| 884 |
+
"eval_runtime": 6.0162,
|
| 885 |
+
"eval_samples_per_second": 83.109,
|
| 886 |
+
"eval_steps_per_second": 5.319,
|
| 887 |
+
"step": 53006
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 3.432347469044717,
|
| 891 |
+
"grad_norm": 0.8557692170143127,
|
| 892 |
+
"learning_rate": 0.0005712752079724557,
|
| 893 |
+
"loss": 0.274,
|
| 894 |
+
"step": 53500
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 3.464425482774107,
|
| 898 |
+
"grad_norm": 0.9875285625457764,
|
| 899 |
+
"learning_rate": 0.0005691366737238297,
|
| 900 |
+
"loss": 0.272,
|
| 901 |
+
"step": 54000
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 3.4965034965034967,
|
| 905 |
+
"grad_norm": 1.0980254411697388,
|
| 906 |
+
"learning_rate": 0.0005669981394752037,
|
| 907 |
+
"loss": 0.2793,
|
| 908 |
+
"step": 54500
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 3.528581510232886,
|
| 912 |
+
"grad_norm": 0.8793803453445435,
|
| 913 |
+
"learning_rate": 0.0005648596052265778,
|
| 914 |
+
"loss": 0.2746,
|
| 915 |
+
"step": 55000
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 3.5606595239622765,
|
| 919 |
+
"grad_norm": 0.9332100749015808,
|
| 920 |
+
"learning_rate": 0.000562725348046449,
|
| 921 |
+
"loss": 0.2737,
|
| 922 |
+
"step": 55500
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 3.592737537691666,
|
| 926 |
+
"grad_norm": 0.8742081522941589,
|
| 927 |
+
"learning_rate": 0.000560586813797823,
|
| 928 |
+
"loss": 0.2783,
|
| 929 |
+
"step": 56000
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 3.6006928850965547,
|
| 933 |
+
"eval_loss": 0.26503631472587585,
|
| 934 |
+
"eval_runtime": 5.8907,
|
| 935 |
+
"eval_samples_per_second": 84.88,
|
| 936 |
+
"eval_steps_per_second": 5.432,
|
| 937 |
+
"step": 56124
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 3.6248155514210563,
|
| 941 |
+
"grad_norm": 0.6926779747009277,
|
| 942 |
+
"learning_rate": 0.000558448279549197,
|
| 943 |
+
"loss": 0.2756,
|
| 944 |
+
"step": 56500
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 3.6568935651504457,
|
| 948 |
+
"grad_norm": 0.7763874530792236,
|
| 949 |
+
"learning_rate": 0.0005563097453005711,
|
| 950 |
+
"loss": 0.2733,
|
| 951 |
+
"step": 57000
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 3.6889715788798356,
|
| 955 |
+
"grad_norm": 0.7885093092918396,
|
| 956 |
+
"learning_rate": 0.000554171211051945,
|
| 957 |
+
"loss": 0.276,
|
| 958 |
+
"step": 57500
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 3.7210495926092255,
|
| 962 |
+
"grad_norm": 1.1363283395767212,
|
| 963 |
+
"learning_rate": 0.000552032676803319,
|
| 964 |
+
"loss": 0.2707,
|
| 965 |
+
"step": 58000
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 3.7531276063386154,
|
| 969 |
+
"grad_norm": 0.9212961196899414,
|
| 970 |
+
"learning_rate": 0.0005498941425546931,
|
| 971 |
+
"loss": 0.2749,
|
| 972 |
+
"step": 58500
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 3.7852056200680053,
|
| 976 |
+
"grad_norm": 0.9321721196174622,
|
| 977 |
+
"learning_rate": 0.000547755608306067,
|
| 978 |
+
"loss": 0.2794,
|
| 979 |
+
"step": 59000
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"epoch": 3.80073137871303,
|
| 983 |
+
"eval_loss": 0.2648073732852936,
|
| 984 |
+
"eval_runtime": 6.0491,
|
| 985 |
+
"eval_samples_per_second": 82.658,
|
| 986 |
+
"eval_steps_per_second": 5.29,
|
| 987 |
+
"step": 59242
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 3.817283633797395,
|
| 991 |
+
"grad_norm": 0.9941183924674988,
|
| 992 |
+
"learning_rate": 0.0005456213511259384,
|
| 993 |
+
"loss": 0.2729,
|
| 994 |
+
"step": 59500
|
| 995 |
+
},
|
| 996 |
+
{
|
| 997 |
+
"epoch": 3.849361647526785,
|
| 998 |
+
"grad_norm": 0.7528358101844788,
|
| 999 |
+
"learning_rate": 0.0005434828168773123,
|
| 1000 |
+
"loss": 0.2641,
|
| 1001 |
+
"step": 60000
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 3.881439661256175,
|
| 1005 |
+
"grad_norm": 0.9063546061515808,
|
| 1006 |
+
"learning_rate": 0.0005413485596971835,
|
| 1007 |
+
"loss": 0.2727,
|
| 1008 |
+
"step": 60500
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 3.913517674985565,
|
| 1012 |
+
"grad_norm": 0.8331403136253357,
|
| 1013 |
+
"learning_rate": 0.0005392100254485576,
|
| 1014 |
+
"loss": 0.271,
|
| 1015 |
+
"step": 61000
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 3.945595688714955,
|
| 1019 |
+
"grad_norm": 0.8270218372344971,
|
| 1020 |
+
"learning_rate": 0.0005370714911999316,
|
| 1021 |
+
"loss": 0.2741,
|
| 1022 |
+
"step": 61500
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 3.9776737024443447,
|
| 1026 |
+
"grad_norm": 0.897326648235321,
|
| 1027 |
+
"learning_rate": 0.0005349329569513055,
|
| 1028 |
+
"loss": 0.2763,
|
| 1029 |
+
"step": 62000
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 4.0007698723295055,
|
| 1033 |
+
"eval_loss": 0.2582992613315582,
|
| 1034 |
+
"eval_runtime": 5.7482,
|
| 1035 |
+
"eval_samples_per_second": 86.984,
|
| 1036 |
+
"eval_steps_per_second": 5.567,
|
| 1037 |
+
"step": 62360
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 4.009751716173734,
|
| 1041 |
+
"grad_norm": 0.9636707901954651,
|
| 1042 |
+
"learning_rate": 0.0005327944227026797,
|
| 1043 |
+
"loss": 0.2647,
|
| 1044 |
+
"step": 62500
|
| 1045 |
+
},
|
| 1046 |
+
{
|
| 1047 |
+
"epoch": 4.0418297299031245,
|
| 1048 |
+
"grad_norm": 0.7918885350227356,
|
| 1049 |
+
"learning_rate": 0.0005306558884540536,
|
| 1050 |
+
"loss": 0.2613,
|
| 1051 |
+
"step": 63000
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 4.073907743632514,
|
| 1055 |
+
"grad_norm": 0.6849018335342407,
|
| 1056 |
+
"learning_rate": 0.0005285173542054276,
|
| 1057 |
+
"loss": 0.2581,
|
| 1058 |
+
"step": 63500
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 4.105985757361904,
|
| 1062 |
+
"grad_norm": 1.1329964399337769,
|
| 1063 |
+
"learning_rate": 0.0005263788199568017,
|
| 1064 |
+
"loss": 0.2607,
|
| 1065 |
+
"step": 64000
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 4.138063771091294,
|
| 1069 |
+
"grad_norm": 0.8808174729347229,
|
| 1070 |
+
"learning_rate": 0.0005242445627766729,
|
| 1071 |
+
"loss": 0.2538,
|
| 1072 |
+
"step": 64500
|
| 1073 |
+
},
|
| 1074 |
+
{
|
| 1075 |
+
"epoch": 4.170141784820684,
|
| 1076 |
+
"grad_norm": 1.0024505853652954,
|
| 1077 |
+
"learning_rate": 0.0005221103055965442,
|
| 1078 |
+
"loss": 0.2635,
|
| 1079 |
+
"step": 65000
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 4.2008083659459805,
|
| 1083 |
+
"eval_loss": 0.2572609782218933,
|
| 1084 |
+
"eval_runtime": 5.9346,
|
| 1085 |
+
"eval_samples_per_second": 84.252,
|
| 1086 |
+
"eval_steps_per_second": 5.392,
|
| 1087 |
+
"step": 65478
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 4.2022197985500735,
|
| 1091 |
+
"grad_norm": 0.763168454170227,
|
| 1092 |
+
"learning_rate": 0.0005199717713479182,
|
| 1093 |
+
"loss": 0.2633,
|
| 1094 |
+
"step": 65500
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 4.234297812279464,
|
| 1098 |
+
"grad_norm": 0.9919458031654358,
|
| 1099 |
+
"learning_rate": 0.0005178332370992922,
|
| 1100 |
+
"loss": 0.2619,
|
| 1101 |
+
"step": 66000
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 4.266375826008853,
|
| 1105 |
+
"grad_norm": 0.7385163307189941,
|
| 1106 |
+
"learning_rate": 0.0005156947028506661,
|
| 1107 |
+
"loss": 0.2599,
|
| 1108 |
+
"step": 66500
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 4.298453839738244,
|
| 1112 |
+
"grad_norm": 0.9631339907646179,
|
| 1113 |
+
"learning_rate": 0.0005135561686020402,
|
| 1114 |
+
"loss": 0.2591,
|
| 1115 |
+
"step": 67000
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 4.330531853467633,
|
| 1119 |
+
"grad_norm": 1.0507500171661377,
|
| 1120 |
+
"learning_rate": 0.0005114176343534142,
|
| 1121 |
+
"loss": 0.2578,
|
| 1122 |
+
"step": 67500
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 4.3626098671970235,
|
| 1126 |
+
"grad_norm": 0.715898334980011,
|
| 1127 |
+
"learning_rate": 0.0005092791001047882,
|
| 1128 |
+
"loss": 0.2582,
|
| 1129 |
+
"step": 68000
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 4.394687880926413,
|
| 1133 |
+
"grad_norm": 1.0435441732406616,
|
| 1134 |
+
"learning_rate": 0.0005071405658561622,
|
| 1135 |
+
"loss": 0.2579,
|
| 1136 |
+
"step": 68500
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 4.400846859562456,
|
| 1140 |
+
"eval_loss": 0.25285640358924866,
|
| 1141 |
+
"eval_runtime": 5.9918,
|
| 1142 |
+
"eval_samples_per_second": 83.447,
|
| 1143 |
+
"eval_steps_per_second": 5.341,
|
| 1144 |
+
"step": 68596
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 4.426765894655803,
|
| 1148 |
+
"grad_norm": 0.7549169063568115,
|
| 1149 |
+
"learning_rate": 0.0005050020316075363,
|
| 1150 |
+
"loss": 0.2582,
|
| 1151 |
+
"step": 69000
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 4.458843908385193,
|
| 1155 |
+
"grad_norm": 1.0151047706604004,
|
| 1156 |
+
"learning_rate": 0.0005028677744274075,
|
| 1157 |
+
"loss": 0.2607,
|
| 1158 |
+
"step": 69500
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 4.490921922114583,
|
| 1162 |
+
"grad_norm": 0.8479259014129639,
|
| 1163 |
+
"learning_rate": 0.0005007292401787815,
|
| 1164 |
+
"loss": 0.2618,
|
| 1165 |
+
"step": 70000
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 4.5229999358439725,
|
| 1169 |
+
"grad_norm": 0.7322765588760376,
|
| 1170 |
+
"learning_rate": 0.0004985907059301555,
|
| 1171 |
+
"loss": 0.2617,
|
| 1172 |
+
"step": 70500
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 4.555077949573363,
|
| 1176 |
+
"grad_norm": 0.7541555762290955,
|
| 1177 |
+
"learning_rate": 0.0004964521716815294,
|
| 1178 |
+
"loss": 0.2588,
|
| 1179 |
+
"step": 71000
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 4.587155963302752,
|
| 1183 |
+
"grad_norm": 0.8848826885223389,
|
| 1184 |
+
"learning_rate": 0.0004943179145014008,
|
| 1185 |
+
"loss": 0.2592,
|
| 1186 |
+
"step": 71500
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 4.600885353178931,
|
| 1190 |
+
"eval_loss": 0.2534917891025543,
|
| 1191 |
+
"eval_runtime": 5.9901,
|
| 1192 |
+
"eval_samples_per_second": 83.471,
|
| 1193 |
+
"eval_steps_per_second": 5.342,
|
| 1194 |
+
"step": 71714
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 4.619233977032142,
|
| 1198 |
+
"grad_norm": 2.1285810470581055,
|
| 1199 |
+
"learning_rate": 0.0004921793802527747,
|
| 1200 |
+
"loss": 0.2558,
|
| 1201 |
+
"step": 72000
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 4.651311990761532,
|
| 1205 |
+
"grad_norm": 1.0571913719177246,
|
| 1206 |
+
"learning_rate": 0.0004900408460041488,
|
| 1207 |
+
"loss": 0.2604,
|
| 1208 |
+
"step": 72500
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 4.683390004490922,
|
| 1212 |
+
"grad_norm": 0.9374910593032837,
|
| 1213 |
+
"learning_rate": 0.00048790231175552284,
|
| 1214 |
+
"loss": 0.2548,
|
| 1215 |
+
"step": 73000
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 4.715468018220312,
|
| 1219 |
+
"grad_norm": 1.045569658279419,
|
| 1220 |
+
"learning_rate": 0.0004857637775068968,
|
| 1221 |
+
"loss": 0.2543,
|
| 1222 |
+
"step": 73500
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 4.747546031949701,
|
| 1226 |
+
"grad_norm": 0.8247463703155518,
|
| 1227 |
+
"learning_rate": 0.00048363379739526535,
|
| 1228 |
+
"loss": 0.2554,
|
| 1229 |
+
"step": 74000
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 4.779624045679092,
|
| 1233 |
+
"grad_norm": 0.7106033563613892,
|
| 1234 |
+
"learning_rate": 0.0004814952631466393,
|
| 1235 |
+
"loss": 0.2566,
|
| 1236 |
+
"step": 74500
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 4.800923846795406,
|
| 1240 |
+
"eval_loss": 0.2493596225976944,
|
| 1241 |
+
"eval_runtime": 5.8672,
|
| 1242 |
+
"eval_samples_per_second": 85.22,
|
| 1243 |
+
"eval_steps_per_second": 5.454,
|
| 1244 |
+
"step": 74832
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 4.811702059408481,
|
| 1248 |
+
"grad_norm": 0.8932815194129944,
|
| 1249 |
+
"learning_rate": 0.0004793567288980133,
|
| 1250 |
+
"loss": 0.2519,
|
| 1251 |
+
"step": 75000
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 4.8437800731378715,
|
| 1255 |
+
"grad_norm": 0.8518146872520447,
|
| 1256 |
+
"learning_rate": 0.00047721819464938733,
|
| 1257 |
+
"loss": 0.2541,
|
| 1258 |
+
"step": 75500
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 4.875858086867261,
|
| 1262 |
+
"grad_norm": 1.0584919452667236,
|
| 1263 |
+
"learning_rate": 0.0004750796604007613,
|
| 1264 |
+
"loss": 0.2503,
|
| 1265 |
+
"step": 76000
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 4.907936100596651,
|
| 1269 |
+
"grad_norm": 0.8002163171768188,
|
| 1270 |
+
"learning_rate": 0.0004729411261521353,
|
| 1271 |
+
"loss": 0.2587,
|
| 1272 |
+
"step": 76500
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 4.940014114326041,
|
| 1276 |
+
"grad_norm": 0.7338119745254517,
|
| 1277 |
+
"learning_rate": 0.00047080259190350937,
|
| 1278 |
+
"loss": 0.2539,
|
| 1279 |
+
"step": 77000
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 4.972092128055431,
|
| 1283 |
+
"grad_norm": 0.8065565228462219,
|
| 1284 |
+
"learning_rate": 0.00046866833472338057,
|
| 1285 |
+
"loss": 0.2536,
|
| 1286 |
+
"step": 77500
|
| 1287 |
+
}
|
| 1288 |
+
],
|
| 1289 |
+
"logging_steps": 500,
|
| 1290 |
+
"max_steps": 187044,
|
| 1291 |
+
"num_input_tokens_seen": 0,
|
| 1292 |
+
"num_train_epochs": 12,
|
| 1293 |
+
"save_steps": 500,
|
| 1294 |
+
"stateful_callbacks": {
|
| 1295 |
+
"TrainerControl": {
|
| 1296 |
+
"args": {
|
| 1297 |
+
"should_epoch_stop": false,
|
| 1298 |
+
"should_evaluate": false,
|
| 1299 |
+
"should_log": false,
|
| 1300 |
+
"should_save": true,
|
| 1301 |
+
"should_training_stop": false
|
| 1302 |
+
},
|
| 1303 |
+
"attributes": {}
|
| 1304 |
+
}
|
| 1305 |
+
},
|
| 1306 |
+
"total_flos": 5.238186599325368e+18,
|
| 1307 |
+
"train_batch_size": 2,
|
| 1308 |
+
"trial_name": null,
|
| 1309 |
+
"trial_params": null
|
| 1310 |
+
}
|
checkpoint-77935/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37b90a284264b08902c1644c9f43994559f5b7a14e3b12bb5ba7570f7f5cdcae
|
| 3 |
+
size 5496
|