Training in progress, epoch 11, checkpoint
Browse files- checkpoint-39589/README.md +202 -0
- checkpoint-39589/adapter_config.json +32 -0
- checkpoint-39589/adapter_model.safetensors +3 -0
- checkpoint-39589/optimizer.pt +3 -0
- checkpoint-39589/rng_state_0.pth +3 -0
- checkpoint-39589/rng_state_1.pth +3 -0
- checkpoint-39589/rng_state_2.pth +3 -0
- checkpoint-39589/rng_state_3.pth +3 -0
- checkpoint-39589/rng_state_4.pth +3 -0
- checkpoint-39589/rng_state_5.pth +3 -0
- checkpoint-39589/rng_state_6.pth +3 -0
- checkpoint-39589/rng_state_7.pth +3 -0
- checkpoint-39589/scheduler.pt +3 -0
- checkpoint-39589/trainer_state.json +1018 -0
- checkpoint-39589/training_args.bin +3 -0
checkpoint-39589/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-39589/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 |
+
"q_proj",
|
| 27 |
+
"v_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
checkpoint-39589/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30e074e647343498f39d82410c3f278eda452a6ba9e9a23787ab2223f49d1c1d
|
| 3 |
+
size 268636736
|
checkpoint-39589/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ab91f64f7158ac326bf4815b3fc5b79af43acbfb3a426fbae37dec98551f278
|
| 3 |
+
size 12663802
|
checkpoint-39589/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7841518c40c21fea37708001b5c31e3a6bb3e7f75e0399397168fe68f761cd5
|
| 3 |
+
size 15984
|
checkpoint-39589/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f39b427dbde51d64a0e582f4a63b4b2199f483b67b2e27af806e3f029a36e103
|
| 3 |
+
size 15984
|
checkpoint-39589/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06c8349cd885aa52f701e7528e06ea3c77ef78859689dabbeb471836f6b36814
|
| 3 |
+
size 15984
|
checkpoint-39589/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56b5e3f8e07afee6efad436b347d518c1ea19b858eca483a55e51c4548a419ef
|
| 3 |
+
size 15984
|
checkpoint-39589/rng_state_4.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:54bfc055d1318e081a1b031ee8541389d2517985b696ab40ea8ed695dc1ca6ad
|
| 3 |
+
size 15984
|
checkpoint-39589/rng_state_5.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f0c4333c9c20672209f568207954fb04c156b845421f2f4090a09d1bc69c37e
|
| 3 |
+
size 15984
|
checkpoint-39589/rng_state_6.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e26eb2d075388e5731f1011b5aa369439b80db46ee8572837f422a63e384b8d4
|
| 3 |
+
size 15984
|
checkpoint-39589/rng_state_7.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e4896d0121d3e1f03500463afb926d162d189ac30e205f041064a50b5936c7f
|
| 3 |
+
size 15984
|
checkpoint-39589/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40124b9fa44a8244e95010ca63836f5b429b4f1eb0e7177107593c42c91210b1
|
| 3 |
+
size 1064
|
checkpoint-39589/trainer_state.json
ADDED
|
@@ -0,0 +1,1018 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 11.0,
|
| 5 |
+
"eval_steps": 720,
|
| 6 |
+
"global_step": 39589,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.13892747985551543,
|
| 13 |
+
"grad_norm": 1.1198960542678833,
|
| 14 |
+
"learning_rate": 0.0007907752153375939,
|
| 15 |
+
"loss": 0.637,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.2000555709919422,
|
| 20 |
+
"eval_loss": 0.5050423741340637,
|
| 21 |
+
"eval_runtime": 3.7601,
|
| 22 |
+
"eval_samples_per_second": 132.977,
|
| 23 |
+
"eval_steps_per_second": 8.511,
|
| 24 |
+
"step": 720
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.27785495971103086,
|
| 28 |
+
"grad_norm": 0.9483360052108765,
|
| 29 |
+
"learning_rate": 0.0007815319070112068,
|
| 30 |
+
"loss": 0.5002,
|
| 31 |
+
"step": 1000
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.4001111419838844,
|
| 35 |
+
"eval_loss": 0.46449729800224304,
|
| 36 |
+
"eval_runtime": 3.8072,
|
| 37 |
+
"eval_samples_per_second": 131.331,
|
| 38 |
+
"eval_steps_per_second": 8.405,
|
| 39 |
+
"step": 1440
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.41678243956654626,
|
| 43 |
+
"grad_norm": 1.063967227935791,
|
| 44 |
+
"learning_rate": 0.0007722700750208392,
|
| 45 |
+
"loss": 0.4557,
|
| 46 |
+
"step": 1500
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.5557099194220617,
|
| 50 |
+
"grad_norm": 0.9635094404220581,
|
| 51 |
+
"learning_rate": 0.0007630082430304714,
|
| 52 |
+
"loss": 0.4345,
|
| 53 |
+
"step": 2000
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 0.6001667129758266,
|
| 57 |
+
"eval_loss": 0.43028712272644043,
|
| 58 |
+
"eval_runtime": 3.8043,
|
| 59 |
+
"eval_samples_per_second": 131.43,
|
| 60 |
+
"eval_steps_per_second": 8.412,
|
| 61 |
+
"step": 2160
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 0.6946373992775771,
|
| 65 |
+
"grad_norm": 0.9948890209197998,
|
| 66 |
+
"learning_rate": 0.0007537464110401038,
|
| 67 |
+
"loss": 0.4164,
|
| 68 |
+
"step": 2500
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.8002222839677688,
|
| 72 |
+
"eval_loss": 0.4203771948814392,
|
| 73 |
+
"eval_runtime": 3.7908,
|
| 74 |
+
"eval_samples_per_second": 131.898,
|
| 75 |
+
"eval_steps_per_second": 8.442,
|
| 76 |
+
"step": 2880
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 0.8335648791330925,
|
| 80 |
+
"grad_norm": 1.4267702102661133,
|
| 81 |
+
"learning_rate": 0.000744484579049736,
|
| 82 |
+
"loss": 0.3981,
|
| 83 |
+
"step": 3000
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.972492358988608,
|
| 87 |
+
"grad_norm": 1.177148461341858,
|
| 88 |
+
"learning_rate": 0.0007352227470593684,
|
| 89 |
+
"loss": 0.3958,
|
| 90 |
+
"step": 3500
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 1.000277854959711,
|
| 94 |
+
"eval_loss": 0.39980679750442505,
|
| 95 |
+
"eval_runtime": 3.8941,
|
| 96 |
+
"eval_samples_per_second": 128.4,
|
| 97 |
+
"eval_steps_per_second": 8.218,
|
| 98 |
+
"step": 3600
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.1114198388441234,
|
| 102 |
+
"grad_norm": 1.0571914911270142,
|
| 103 |
+
"learning_rate": 0.0007259609150690007,
|
| 104 |
+
"loss": 0.3615,
|
| 105 |
+
"step": 4000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 1.2003334259516532,
|
| 109 |
+
"eval_loss": 0.3898833692073822,
|
| 110 |
+
"eval_runtime": 3.8575,
|
| 111 |
+
"eval_samples_per_second": 129.618,
|
| 112 |
+
"eval_steps_per_second": 8.296,
|
| 113 |
+
"step": 4320
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 1.2503473186996388,
|
| 117 |
+
"grad_norm": 1.0240044593811035,
|
| 118 |
+
"learning_rate": 0.000716699083078633,
|
| 119 |
+
"loss": 0.3594,
|
| 120 |
+
"step": 4500
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 1.3892747985551543,
|
| 124 |
+
"grad_norm": 1.240479588508606,
|
| 125 |
+
"learning_rate": 0.0007074742984162268,
|
| 126 |
+
"loss": 0.3575,
|
| 127 |
+
"step": 5000
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 1.4003889969435954,
|
| 131 |
+
"eval_loss": 0.37695348262786865,
|
| 132 |
+
"eval_runtime": 4.625,
|
| 133 |
+
"eval_samples_per_second": 108.108,
|
| 134 |
+
"eval_steps_per_second": 6.919,
|
| 135 |
+
"step": 5040
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 1.5282022784106695,
|
| 139 |
+
"grad_norm": 1.1636780500411987,
|
| 140 |
+
"learning_rate": 0.000698212466425859,
|
| 141 |
+
"loss": 0.3529,
|
| 142 |
+
"step": 5500
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 1.6004445679355377,
|
| 146 |
+
"eval_loss": 0.37476062774658203,
|
| 147 |
+
"eval_runtime": 3.7919,
|
| 148 |
+
"eval_samples_per_second": 131.859,
|
| 149 |
+
"eval_steps_per_second": 8.439,
|
| 150 |
+
"step": 5760
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.667129758266185,
|
| 154 |
+
"grad_norm": 0.9645657539367676,
|
| 155 |
+
"learning_rate": 0.0006889506344354914,
|
| 156 |
+
"loss": 0.35,
|
| 157 |
+
"step": 6000
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 1.8005001389274797,
|
| 161 |
+
"eval_loss": 0.3607681393623352,
|
| 162 |
+
"eval_runtime": 3.8,
|
| 163 |
+
"eval_samples_per_second": 131.579,
|
| 164 |
+
"eval_steps_per_second": 8.421,
|
| 165 |
+
"step": 6480
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 1.8060572381217006,
|
| 169 |
+
"grad_norm": 1.0501099824905396,
|
| 170 |
+
"learning_rate": 0.0006796888024451237,
|
| 171 |
+
"loss": 0.3423,
|
| 172 |
+
"step": 6500
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 1.9449847179772157,
|
| 176 |
+
"grad_norm": 0.9878831505775452,
|
| 177 |
+
"learning_rate": 0.0006704269704547561,
|
| 178 |
+
"loss": 0.3449,
|
| 179 |
+
"step": 7000
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 2.000555709919422,
|
| 183 |
+
"eval_loss": 0.35729101300239563,
|
| 184 |
+
"eval_runtime": 3.9554,
|
| 185 |
+
"eval_samples_per_second": 126.41,
|
| 186 |
+
"eval_steps_per_second": 8.09,
|
| 187 |
+
"step": 7200
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 2.0839121978327313,
|
| 191 |
+
"grad_norm": 1.2939465045928955,
|
| 192 |
+
"learning_rate": 0.000661183662128369,
|
| 193 |
+
"loss": 0.3238,
|
| 194 |
+
"step": 7500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 2.2006112809113643,
|
| 198 |
+
"eval_loss": 0.35569658875465393,
|
| 199 |
+
"eval_runtime": 3.8225,
|
| 200 |
+
"eval_samples_per_second": 130.803,
|
| 201 |
+
"eval_steps_per_second": 8.371,
|
| 202 |
+
"step": 7920
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 2.222839677688247,
|
| 206 |
+
"grad_norm": 1.2539418935775757,
|
| 207 |
+
"learning_rate": 0.0006519218301380013,
|
| 208 |
+
"loss": 0.3166,
|
| 209 |
+
"step": 8000
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 2.361767157543762,
|
| 213 |
+
"grad_norm": 1.2524042129516602,
|
| 214 |
+
"learning_rate": 0.0006426599981476336,
|
| 215 |
+
"loss": 0.3181,
|
| 216 |
+
"step": 8500
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 2.4006668519033063,
|
| 220 |
+
"eval_loss": 0.349068820476532,
|
| 221 |
+
"eval_runtime": 3.8105,
|
| 222 |
+
"eval_samples_per_second": 131.218,
|
| 223 |
+
"eval_steps_per_second": 8.398,
|
| 224 |
+
"step": 8640
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 2.5006946373992776,
|
| 228 |
+
"grad_norm": 1.388472318649292,
|
| 229 |
+
"learning_rate": 0.000633398166157266,
|
| 230 |
+
"loss": 0.3131,
|
| 231 |
+
"step": 9000
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 2.600722422895249,
|
| 235 |
+
"eval_loss": 0.3446434438228607,
|
| 236 |
+
"eval_runtime": 3.8521,
|
| 237 |
+
"eval_samples_per_second": 129.8,
|
| 238 |
+
"eval_steps_per_second": 8.307,
|
| 239 |
+
"step": 9360
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 2.639622117254793,
|
| 243 |
+
"grad_norm": 1.244354486465454,
|
| 244 |
+
"learning_rate": 0.000624154857830879,
|
| 245 |
+
"loss": 0.3143,
|
| 246 |
+
"step": 9500
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 2.7785495971103087,
|
| 250 |
+
"grad_norm": 0.7853448987007141,
|
| 251 |
+
"learning_rate": 0.0006148930258405113,
|
| 252 |
+
"loss": 0.3114,
|
| 253 |
+
"step": 10000
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 2.800777993887191,
|
| 257 |
+
"eval_loss": 0.33502963185310364,
|
| 258 |
+
"eval_runtime": 4.0683,
|
| 259 |
+
"eval_samples_per_second": 122.902,
|
| 260 |
+
"eval_steps_per_second": 7.866,
|
| 261 |
+
"step": 10080
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 2.917477076965824,
|
| 265 |
+
"grad_norm": 0.8103400468826294,
|
| 266 |
+
"learning_rate": 0.0006056311938501436,
|
| 267 |
+
"loss": 0.3125,
|
| 268 |
+
"step": 10500
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 3.000833564879133,
|
| 272 |
+
"eval_loss": 0.33597758412361145,
|
| 273 |
+
"eval_runtime": 3.7986,
|
| 274 |
+
"eval_samples_per_second": 131.628,
|
| 275 |
+
"eval_steps_per_second": 8.424,
|
| 276 |
+
"step": 10800
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 3.0564045568213394,
|
| 280 |
+
"grad_norm": 0.9693534970283508,
|
| 281 |
+
"learning_rate": 0.0005963878855237566,
|
| 282 |
+
"loss": 0.2984,
|
| 283 |
+
"step": 11000
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 3.1953320366768545,
|
| 287 |
+
"grad_norm": 0.8575369715690613,
|
| 288 |
+
"learning_rate": 0.0005871260535333889,
|
| 289 |
+
"loss": 0.286,
|
| 290 |
+
"step": 11500
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 3.2008891358710754,
|
| 294 |
+
"eval_loss": 0.3322838842868805,
|
| 295 |
+
"eval_runtime": 3.8858,
|
| 296 |
+
"eval_samples_per_second": 128.675,
|
| 297 |
+
"eval_steps_per_second": 8.235,
|
| 298 |
+
"step": 11520
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 3.33425951653237,
|
| 302 |
+
"grad_norm": 0.8576149940490723,
|
| 303 |
+
"learning_rate": 0.0005778642215430212,
|
| 304 |
+
"loss": 0.2892,
|
| 305 |
+
"step": 12000
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 3.4009447068630174,
|
| 309 |
+
"eval_loss": 0.32555091381073,
|
| 310 |
+
"eval_runtime": 3.7706,
|
| 311 |
+
"eval_samples_per_second": 132.606,
|
| 312 |
+
"eval_steps_per_second": 8.487,
|
| 313 |
+
"step": 12240
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 3.4731869963878856,
|
| 317 |
+
"grad_norm": 1.3117287158966064,
|
| 318 |
+
"learning_rate": 0.0005686023895526536,
|
| 319 |
+
"loss": 0.2873,
|
| 320 |
+
"step": 12500
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 3.6010002778549595,
|
| 324 |
+
"eval_loss": 0.3197897970676422,
|
| 325 |
+
"eval_runtime": 3.8882,
|
| 326 |
+
"eval_samples_per_second": 128.594,
|
| 327 |
+
"eval_steps_per_second": 8.23,
|
| 328 |
+
"step": 12960
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 3.612114476243401,
|
| 332 |
+
"grad_norm": 1.0069260597229004,
|
| 333 |
+
"learning_rate": 0.0005593405575622859,
|
| 334 |
+
"loss": 0.2912,
|
| 335 |
+
"step": 13000
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 3.7510419560989163,
|
| 339 |
+
"grad_norm": 1.4077204465866089,
|
| 340 |
+
"learning_rate": 0.0005500787255719182,
|
| 341 |
+
"loss": 0.2845,
|
| 342 |
+
"step": 13500
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 3.801055848846902,
|
| 346 |
+
"eval_loss": 0.32024767994880676,
|
| 347 |
+
"eval_runtime": 3.7838,
|
| 348 |
+
"eval_samples_per_second": 132.144,
|
| 349 |
+
"eval_steps_per_second": 8.457,
|
| 350 |
+
"step": 13680
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 3.889969435954432,
|
| 354 |
+
"grad_norm": 1.086256980895996,
|
| 355 |
+
"learning_rate": 0.0005408168935815504,
|
| 356 |
+
"loss": 0.2874,
|
| 357 |
+
"step": 14000
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 4.001111419838844,
|
| 361 |
+
"eval_loss": 0.310783326625824,
|
| 362 |
+
"eval_runtime": 3.8395,
|
| 363 |
+
"eval_samples_per_second": 130.225,
|
| 364 |
+
"eval_steps_per_second": 8.334,
|
| 365 |
+
"step": 14400
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 4.0288969158099475,
|
| 369 |
+
"grad_norm": 1.1111361980438232,
|
| 370 |
+
"learning_rate": 0.0005315550615911827,
|
| 371 |
+
"loss": 0.2773,
|
| 372 |
+
"step": 14500
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 4.167824395665463,
|
| 376 |
+
"grad_norm": 1.456834316253662,
|
| 377 |
+
"learning_rate": 0.0005222932296008151,
|
| 378 |
+
"loss": 0.2591,
|
| 379 |
+
"step": 15000
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 4.201166990830786,
|
| 383 |
+
"eval_loss": 0.32236987352371216,
|
| 384 |
+
"eval_runtime": 3.8241,
|
| 385 |
+
"eval_samples_per_second": 130.751,
|
| 386 |
+
"eval_steps_per_second": 8.368,
|
| 387 |
+
"step": 15120
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 4.306751875520978,
|
| 391 |
+
"grad_norm": 1.0425251722335815,
|
| 392 |
+
"learning_rate": 0.0005130499212744282,
|
| 393 |
+
"loss": 0.2663,
|
| 394 |
+
"step": 15500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 4.4012225618227285,
|
| 398 |
+
"eval_loss": 0.3159812390804291,
|
| 399 |
+
"eval_runtime": 3.8272,
|
| 400 |
+
"eval_samples_per_second": 130.644,
|
| 401 |
+
"eval_steps_per_second": 8.361,
|
| 402 |
+
"step": 15840
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 4.445679355376494,
|
| 406 |
+
"grad_norm": 1.142910122871399,
|
| 407 |
+
"learning_rate": 0.0005038066129480412,
|
| 408 |
+
"loss": 0.2665,
|
| 409 |
+
"step": 16000
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 4.584606835232009,
|
| 413 |
+
"grad_norm": 0.8589379191398621,
|
| 414 |
+
"learning_rate": 0.0004945447809576734,
|
| 415 |
+
"loss": 0.2617,
|
| 416 |
+
"step": 16500
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 4.601278132814671,
|
| 420 |
+
"eval_loss": 0.31165239214897156,
|
| 421 |
+
"eval_runtime": 3.9058,
|
| 422 |
+
"eval_samples_per_second": 128.014,
|
| 423 |
+
"eval_steps_per_second": 8.193,
|
| 424 |
+
"step": 16560
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 4.723534315087524,
|
| 428 |
+
"grad_norm": 1.43936026096344,
|
| 429 |
+
"learning_rate": 0.0004852829489673058,
|
| 430 |
+
"loss": 0.2688,
|
| 431 |
+
"step": 17000
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 4.801333703806613,
|
| 435 |
+
"eval_loss": 0.30395612120628357,
|
| 436 |
+
"eval_runtime": 3.8056,
|
| 437 |
+
"eval_samples_per_second": 131.385,
|
| 438 |
+
"eval_steps_per_second": 8.409,
|
| 439 |
+
"step": 17280
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 4.86246179494304,
|
| 443 |
+
"grad_norm": 0.8109529614448547,
|
| 444 |
+
"learning_rate": 0.0004760211169769381,
|
| 445 |
+
"loss": 0.2655,
|
| 446 |
+
"step": 17500
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 5.001389274798555,
|
| 450 |
+
"grad_norm": 1.0239903926849365,
|
| 451 |
+
"learning_rate": 0.00046675928498657033,
|
| 452 |
+
"loss": 0.2603,
|
| 453 |
+
"step": 18000
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 5.001389274798555,
|
| 457 |
+
"eval_loss": 0.3051631450653076,
|
| 458 |
+
"eval_runtime": 3.8213,
|
| 459 |
+
"eval_samples_per_second": 130.845,
|
| 460 |
+
"eval_steps_per_second": 8.374,
|
| 461 |
+
"step": 18000
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 5.14031675465407,
|
| 465 |
+
"grad_norm": 0.9971492290496826,
|
| 466 |
+
"learning_rate": 0.0004574974529962027,
|
| 467 |
+
"loss": 0.2401,
|
| 468 |
+
"step": 18500
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 5.201444845790498,
|
| 472 |
+
"eval_loss": 0.3025811016559601,
|
| 473 |
+
"eval_runtime": 4.1633,
|
| 474 |
+
"eval_samples_per_second": 120.096,
|
| 475 |
+
"eval_steps_per_second": 7.686,
|
| 476 |
+
"step": 18720
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 5.279244234509586,
|
| 480 |
+
"grad_norm": 0.9720182418823242,
|
| 481 |
+
"learning_rate": 0.000448235621005835,
|
| 482 |
+
"loss": 0.2403,
|
| 483 |
+
"step": 19000
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 5.401500416782439,
|
| 487 |
+
"eval_loss": 0.299972265958786,
|
| 488 |
+
"eval_runtime": 4.655,
|
| 489 |
+
"eval_samples_per_second": 107.411,
|
| 490 |
+
"eval_steps_per_second": 6.874,
|
| 491 |
+
"step": 19440
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 5.418171714365101,
|
| 495 |
+
"grad_norm": 1.4856421947479248,
|
| 496 |
+
"learning_rate": 0.00043899231267944806,
|
| 497 |
+
"loss": 0.2421,
|
| 498 |
+
"step": 19500
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 5.5570991942206165,
|
| 502 |
+
"grad_norm": 1.0803531408309937,
|
| 503 |
+
"learning_rate": 0.0004297304806890803,
|
| 504 |
+
"loss": 0.2424,
|
| 505 |
+
"step": 20000
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 5.601555987774382,
|
| 509 |
+
"eval_loss": 0.29013943672180176,
|
| 510 |
+
"eval_runtime": 3.8417,
|
| 511 |
+
"eval_samples_per_second": 130.15,
|
| 512 |
+
"eval_steps_per_second": 8.33,
|
| 513 |
+
"step": 20160
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 5.6960266740761325,
|
| 517 |
+
"grad_norm": 1.2330774068832397,
|
| 518 |
+
"learning_rate": 0.0004204686486987126,
|
| 519 |
+
"loss": 0.2429,
|
| 520 |
+
"step": 20500
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 5.801611558766324,
|
| 524 |
+
"eval_loss": 0.2877044677734375,
|
| 525 |
+
"eval_runtime": 4.5536,
|
| 526 |
+
"eval_samples_per_second": 109.803,
|
| 527 |
+
"eval_steps_per_second": 7.027,
|
| 528 |
+
"step": 20880
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 5.834954153931648,
|
| 532 |
+
"grad_norm": 0.753556489944458,
|
| 533 |
+
"learning_rate": 0.00041120681670834495,
|
| 534 |
+
"loss": 0.2399,
|
| 535 |
+
"step": 21000
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 5.973881633787163,
|
| 539 |
+
"grad_norm": 1.157812237739563,
|
| 540 |
+
"learning_rate": 0.00040194498471797724,
|
| 541 |
+
"loss": 0.2396,
|
| 542 |
+
"step": 21500
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 6.001667129758266,
|
| 546 |
+
"eval_loss": 0.28767964243888855,
|
| 547 |
+
"eval_runtime": 3.835,
|
| 548 |
+
"eval_samples_per_second": 130.379,
|
| 549 |
+
"eval_steps_per_second": 8.344,
|
| 550 |
+
"step": 21600
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 6.112809113642679,
|
| 554 |
+
"grad_norm": 1.0191729068756104,
|
| 555 |
+
"learning_rate": 0.00039268315272760954,
|
| 556 |
+
"loss": 0.2204,
|
| 557 |
+
"step": 22000
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 6.201722700750208,
|
| 561 |
+
"eval_loss": 0.2886238396167755,
|
| 562 |
+
"eval_runtime": 3.8094,
|
| 563 |
+
"eval_samples_per_second": 131.255,
|
| 564 |
+
"eval_steps_per_second": 8.4,
|
| 565 |
+
"step": 22320
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 6.251736593498194,
|
| 569 |
+
"grad_norm": 0.9320778846740723,
|
| 570 |
+
"learning_rate": 0.00038343984440122257,
|
| 571 |
+
"loss": 0.2188,
|
| 572 |
+
"step": 22500
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 6.390664073353709,
|
| 576 |
+
"grad_norm": 1.2492601871490479,
|
| 577 |
+
"learning_rate": 0.00037417801241085486,
|
| 578 |
+
"loss": 0.2234,
|
| 579 |
+
"step": 23000
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 6.401778271742151,
|
| 583 |
+
"eval_loss": 0.28561460971832275,
|
| 584 |
+
"eval_runtime": 3.9577,
|
| 585 |
+
"eval_samples_per_second": 126.337,
|
| 586 |
+
"eval_steps_per_second": 8.086,
|
| 587 |
+
"step": 23040
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 6.529591553209225,
|
| 591 |
+
"grad_norm": 1.1227470636367798,
|
| 592 |
+
"learning_rate": 0.0003649161804204872,
|
| 593 |
+
"loss": 0.2215,
|
| 594 |
+
"step": 23500
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 6.601833842734093,
|
| 598 |
+
"eval_loss": 0.28328219056129456,
|
| 599 |
+
"eval_runtime": 3.7863,
|
| 600 |
+
"eval_samples_per_second": 132.054,
|
| 601 |
+
"eval_steps_per_second": 8.451,
|
| 602 |
+
"step": 23760
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 6.66851903306474,
|
| 606 |
+
"grad_norm": 1.1865583658218384,
|
| 607 |
+
"learning_rate": 0.0003556543484301195,
|
| 608 |
+
"loss": 0.2198,
|
| 609 |
+
"step": 24000
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 6.801889413726035,
|
| 613 |
+
"eval_loss": 0.27882036566734314,
|
| 614 |
+
"eval_runtime": 4.0423,
|
| 615 |
+
"eval_samples_per_second": 123.693,
|
| 616 |
+
"eval_steps_per_second": 7.916,
|
| 617 |
+
"step": 24480
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 6.807446512920255,
|
| 621 |
+
"grad_norm": 0.7896998524665833,
|
| 622 |
+
"learning_rate": 0.0003463925164397518,
|
| 623 |
+
"loss": 0.2213,
|
| 624 |
+
"step": 24500
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 6.946373992775771,
|
| 628 |
+
"grad_norm": 1.0713887214660645,
|
| 629 |
+
"learning_rate": 0.0003371306844493841,
|
| 630 |
+
"loss": 0.2202,
|
| 631 |
+
"step": 25000
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 7.001944984717977,
|
| 635 |
+
"eval_loss": 0.2714787721633911,
|
| 636 |
+
"eval_runtime": 3.8612,
|
| 637 |
+
"eval_samples_per_second": 129.493,
|
| 638 |
+
"eval_steps_per_second": 8.288,
|
| 639 |
+
"step": 25200
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 7.085301472631286,
|
| 643 |
+
"grad_norm": 1.208331823348999,
|
| 644 |
+
"learning_rate": 0.0003278688524590164,
|
| 645 |
+
"loss": 0.2027,
|
| 646 |
+
"step": 25500
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 7.20200055570992,
|
| 650 |
+
"eval_loss": 0.2782404124736786,
|
| 651 |
+
"eval_runtime": 4.0927,
|
| 652 |
+
"eval_samples_per_second": 122.168,
|
| 653 |
+
"eval_steps_per_second": 7.819,
|
| 654 |
+
"step": 25920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 7.2242289524868015,
|
| 658 |
+
"grad_norm": 0.8780717849731445,
|
| 659 |
+
"learning_rate": 0.0003186070204686487,
|
| 660 |
+
"loss": 0.1964,
|
| 661 |
+
"step": 26000
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 7.3631564323423175,
|
| 665 |
+
"grad_norm": 0.7576518058776855,
|
| 666 |
+
"learning_rate": 0.00030934518847828104,
|
| 667 |
+
"loss": 0.1995,
|
| 668 |
+
"step": 26500
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 7.402056126701861,
|
| 672 |
+
"eval_loss": 0.28228145837783813,
|
| 673 |
+
"eval_runtime": 3.8237,
|
| 674 |
+
"eval_samples_per_second": 130.762,
|
| 675 |
+
"eval_steps_per_second": 8.369,
|
| 676 |
+
"step": 26640
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 7.502083912197833,
|
| 680 |
+
"grad_norm": 0.7847643494606018,
|
| 681 |
+
"learning_rate": 0.0003000833564879133,
|
| 682 |
+
"loss": 0.199,
|
| 683 |
+
"step": 27000
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 7.602111697693804,
|
| 687 |
+
"eval_loss": 0.2756829261779785,
|
| 688 |
+
"eval_runtime": 3.8249,
|
| 689 |
+
"eval_samples_per_second": 130.723,
|
| 690 |
+
"eval_steps_per_second": 8.366,
|
| 691 |
+
"step": 27360
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 7.641011392053348,
|
| 695 |
+
"grad_norm": 1.0473297834396362,
|
| 696 |
+
"learning_rate": 0.00029082152449754563,
|
| 697 |
+
"loss": 0.1997,
|
| 698 |
+
"step": 27500
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 7.779938871908864,
|
| 702 |
+
"grad_norm": 1.0194053649902344,
|
| 703 |
+
"learning_rate": 0.000281559692507178,
|
| 704 |
+
"loss": 0.199,
|
| 705 |
+
"step": 28000
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 7.802167268685746,
|
| 709 |
+
"eval_loss": 0.27072572708129883,
|
| 710 |
+
"eval_runtime": 3.8542,
|
| 711 |
+
"eval_samples_per_second": 129.728,
|
| 712 |
+
"eval_steps_per_second": 8.303,
|
| 713 |
+
"step": 28080
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 7.918866351764379,
|
| 717 |
+
"grad_norm": 1.0758508443832397,
|
| 718 |
+
"learning_rate": 0.0002722978605168102,
|
| 719 |
+
"loss": 0.2037,
|
| 720 |
+
"step": 28500
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 8.002222839677689,
|
| 724 |
+
"eval_loss": 0.2647857666015625,
|
| 725 |
+
"eval_runtime": 3.9624,
|
| 726 |
+
"eval_samples_per_second": 126.187,
|
| 727 |
+
"eval_steps_per_second": 8.076,
|
| 728 |
+
"step": 28800
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 8.057793831619895,
|
| 732 |
+
"grad_norm": 1.5225253105163574,
|
| 733 |
+
"learning_rate": 0.000263073075854404,
|
| 734 |
+
"loss": 0.1894,
|
| 735 |
+
"step": 29000
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 8.19672131147541,
|
| 739 |
+
"grad_norm": 1.2376328706741333,
|
| 740 |
+
"learning_rate": 0.00025381124386403633,
|
| 741 |
+
"loss": 0.1802,
|
| 742 |
+
"step": 29500
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 8.20227841066963,
|
| 746 |
+
"eval_loss": 0.2687641680240631,
|
| 747 |
+
"eval_runtime": 3.8687,
|
| 748 |
+
"eval_samples_per_second": 129.244,
|
| 749 |
+
"eval_steps_per_second": 8.272,
|
| 750 |
+
"step": 29520
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 8.335648791330925,
|
| 754 |
+
"grad_norm": 0.9780922532081604,
|
| 755 |
+
"learning_rate": 0.0002445494118736686,
|
| 756 |
+
"loss": 0.1772,
|
| 757 |
+
"step": 30000
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 8.402333981661572,
|
| 761 |
+
"eval_loss": 0.26946747303009033,
|
| 762 |
+
"eval_runtime": 3.847,
|
| 763 |
+
"eval_samples_per_second": 129.971,
|
| 764 |
+
"eval_steps_per_second": 8.318,
|
| 765 |
+
"step": 30240
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 8.474576271186441,
|
| 769 |
+
"grad_norm": 0.9798265099525452,
|
| 770 |
+
"learning_rate": 0.00023528757988330092,
|
| 771 |
+
"loss": 0.1809,
|
| 772 |
+
"step": 30500
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 8.602389552653515,
|
| 776 |
+
"eval_loss": 0.2680206894874573,
|
| 777 |
+
"eval_runtime": 3.8328,
|
| 778 |
+
"eval_samples_per_second": 130.451,
|
| 779 |
+
"eval_steps_per_second": 8.349,
|
| 780 |
+
"step": 30960
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 8.613503751041955,
|
| 784 |
+
"grad_norm": 1.158241868019104,
|
| 785 |
+
"learning_rate": 0.00022602574789293324,
|
| 786 |
+
"loss": 0.181,
|
| 787 |
+
"step": 31000
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 8.752431230897471,
|
| 791 |
+
"grad_norm": 1.3428902626037598,
|
| 792 |
+
"learning_rate": 0.00021676391590256554,
|
| 793 |
+
"loss": 0.1783,
|
| 794 |
+
"step": 31500
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 8.802445123645457,
|
| 798 |
+
"eval_loss": 0.26235222816467285,
|
| 799 |
+
"eval_runtime": 3.7848,
|
| 800 |
+
"eval_samples_per_second": 132.107,
|
| 801 |
+
"eval_steps_per_second": 8.455,
|
| 802 |
+
"step": 31680
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 8.891358710752987,
|
| 806 |
+
"grad_norm": 1.0836312770843506,
|
| 807 |
+
"learning_rate": 0.00020750208391219786,
|
| 808 |
+
"loss": 0.181,
|
| 809 |
+
"step": 32000
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 9.0025006946374,
|
| 813 |
+
"eval_loss": 0.25675147771835327,
|
| 814 |
+
"eval_runtime": 3.933,
|
| 815 |
+
"eval_samples_per_second": 127.129,
|
| 816 |
+
"eval_steps_per_second": 8.136,
|
| 817 |
+
"step": 32400
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 9.030286190608502,
|
| 821 |
+
"grad_norm": 0.9676462411880493,
|
| 822 |
+
"learning_rate": 0.00019825877558581086,
|
| 823 |
+
"loss": 0.1741,
|
| 824 |
+
"step": 32500
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 9.169213670464018,
|
| 828 |
+
"grad_norm": 0.8916613459587097,
|
| 829 |
+
"learning_rate": 0.0001889969435954432,
|
| 830 |
+
"loss": 0.1577,
|
| 831 |
+
"step": 33000
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 9.202556265629342,
|
| 835 |
+
"eval_loss": 0.26385390758514404,
|
| 836 |
+
"eval_runtime": 3.7947,
|
| 837 |
+
"eval_samples_per_second": 131.764,
|
| 838 |
+
"eval_steps_per_second": 8.433,
|
| 839 |
+
"step": 33120
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 9.308141150319534,
|
| 843 |
+
"grad_norm": 0.7243923544883728,
|
| 844 |
+
"learning_rate": 0.0001797351116050755,
|
| 845 |
+
"loss": 0.1577,
|
| 846 |
+
"step": 33500
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 9.402611836621285,
|
| 850 |
+
"eval_loss": 0.25913867354393005,
|
| 851 |
+
"eval_runtime": 3.8547,
|
| 852 |
+
"eval_samples_per_second": 129.712,
|
| 853 |
+
"eval_steps_per_second": 8.302,
|
| 854 |
+
"step": 33840
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 9.447068630175048,
|
| 858 |
+
"grad_norm": 0.9483500123023987,
|
| 859 |
+
"learning_rate": 0.0001704732796147078,
|
| 860 |
+
"loss": 0.1591,
|
| 861 |
+
"step": 34000
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 9.585996110030564,
|
| 865 |
+
"grad_norm": 0.7762231826782227,
|
| 866 |
+
"learning_rate": 0.0001612114476243401,
|
| 867 |
+
"loss": 0.1616,
|
| 868 |
+
"step": 34500
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 9.602667407613225,
|
| 872 |
+
"eval_loss": 0.2610129714012146,
|
| 873 |
+
"eval_runtime": 3.8149,
|
| 874 |
+
"eval_samples_per_second": 131.065,
|
| 875 |
+
"eval_steps_per_second": 8.388,
|
| 876 |
+
"step": 34560
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 9.72492358988608,
|
| 880 |
+
"grad_norm": 0.7880794405937195,
|
| 881 |
+
"learning_rate": 0.00015194961563397242,
|
| 882 |
+
"loss": 0.1602,
|
| 883 |
+
"step": 35000
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 9.802722978605168,
|
| 887 |
+
"eval_loss": 0.2549179196357727,
|
| 888 |
+
"eval_runtime": 3.8234,
|
| 889 |
+
"eval_samples_per_second": 130.775,
|
| 890 |
+
"eval_steps_per_second": 8.37,
|
| 891 |
+
"step": 35280
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 9.863851069741594,
|
| 895 |
+
"grad_norm": 1.144584059715271,
|
| 896 |
+
"learning_rate": 0.00014268778364360472,
|
| 897 |
+
"loss": 0.1616,
|
| 898 |
+
"step": 35500
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 10.00277854959711,
|
| 902 |
+
"grad_norm": 0.5802558064460754,
|
| 903 |
+
"learning_rate": 0.000133425951653237,
|
| 904 |
+
"loss": 0.158,
|
| 905 |
+
"step": 36000
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 10.00277854959711,
|
| 909 |
+
"eval_loss": 0.25472626090049744,
|
| 910 |
+
"eval_runtime": 3.8668,
|
| 911 |
+
"eval_samples_per_second": 129.307,
|
| 912 |
+
"eval_steps_per_second": 8.276,
|
| 913 |
+
"step": 36000
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 10.141706029452626,
|
| 917 |
+
"grad_norm": 0.8255568146705627,
|
| 918 |
+
"learning_rate": 0.0001241641196628693,
|
| 919 |
+
"loss": 0.1399,
|
| 920 |
+
"step": 36500
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 10.202834120589053,
|
| 924 |
+
"eval_loss": 0.26079797744750977,
|
| 925 |
+
"eval_runtime": 3.8601,
|
| 926 |
+
"eval_samples_per_second": 129.53,
|
| 927 |
+
"eval_steps_per_second": 8.29,
|
| 928 |
+
"step": 36720
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 10.28063350930814,
|
| 932 |
+
"grad_norm": 1.0500853061676025,
|
| 933 |
+
"learning_rate": 0.00011492081133648236,
|
| 934 |
+
"loss": 0.1394,
|
| 935 |
+
"step": 37000
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 10.402889691580995,
|
| 939 |
+
"eval_loss": 0.26099085807800293,
|
| 940 |
+
"eval_runtime": 4.0256,
|
| 941 |
+
"eval_samples_per_second": 124.205,
|
| 942 |
+
"eval_steps_per_second": 7.949,
|
| 943 |
+
"step": 37440
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 10.419560989163656,
|
| 947 |
+
"grad_norm": 0.7501422166824341,
|
| 948 |
+
"learning_rate": 0.00010565897934611466,
|
| 949 |
+
"loss": 0.1415,
|
| 950 |
+
"step": 37500
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 10.558488469019172,
|
| 954 |
+
"grad_norm": 1.162443995475769,
|
| 955 |
+
"learning_rate": 9.639714735574698e-05,
|
| 956 |
+
"loss": 0.1405,
|
| 957 |
+
"step": 38000
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 10.602945262572938,
|
| 961 |
+
"eval_loss": 0.25570982694625854,
|
| 962 |
+
"eval_runtime": 3.7987,
|
| 963 |
+
"eval_samples_per_second": 131.625,
|
| 964 |
+
"eval_steps_per_second": 8.424,
|
| 965 |
+
"step": 38160
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 10.697415948874687,
|
| 969 |
+
"grad_norm": 0.9860718846321106,
|
| 970 |
+
"learning_rate": 8.713531536537928e-05,
|
| 971 |
+
"loss": 0.1404,
|
| 972 |
+
"step": 38500
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 10.803000833564878,
|
| 976 |
+
"eval_loss": 0.2561904788017273,
|
| 977 |
+
"eval_runtime": 3.7731,
|
| 978 |
+
"eval_samples_per_second": 132.516,
|
| 979 |
+
"eval_steps_per_second": 8.481,
|
| 980 |
+
"step": 38880
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 10.836343428730203,
|
| 984 |
+
"grad_norm": 0.8580673933029175,
|
| 985 |
+
"learning_rate": 7.787348337501159e-05,
|
| 986 |
+
"loss": 0.1415,
|
| 987 |
+
"step": 39000
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 10.975270908585719,
|
| 991 |
+
"grad_norm": 1.089052438735962,
|
| 992 |
+
"learning_rate": 6.864869871260535e-05,
|
| 993 |
+
"loss": 0.1415,
|
| 994 |
+
"step": 39500
|
| 995 |
+
}
|
| 996 |
+
],
|
| 997 |
+
"logging_steps": 500,
|
| 998 |
+
"max_steps": 43188,
|
| 999 |
+
"num_input_tokens_seen": 0,
|
| 1000 |
+
"num_train_epochs": 12,
|
| 1001 |
+
"save_steps": 500,
|
| 1002 |
+
"stateful_callbacks": {
|
| 1003 |
+
"TrainerControl": {
|
| 1004 |
+
"args": {
|
| 1005 |
+
"should_epoch_stop": false,
|
| 1006 |
+
"should_evaluate": false,
|
| 1007 |
+
"should_log": false,
|
| 1008 |
+
"should_save": true,
|
| 1009 |
+
"should_training_stop": false
|
| 1010 |
+
},
|
| 1011 |
+
"attributes": {}
|
| 1012 |
+
}
|
| 1013 |
+
},
|
| 1014 |
+
"total_flos": 1.0381972027463434e+18,
|
| 1015 |
+
"train_batch_size": 2,
|
| 1016 |
+
"trial_name": null,
|
| 1017 |
+
"trial_params": null
|
| 1018 |
+
}
|
checkpoint-39589/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4669a05861aa2cabf994a5ebd88703de5bbf517c7397322a1d3bcb4cfa01bfa7
|
| 3 |
+
size 5496
|