End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: answerdotai/ModernBERT-base
+base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # modernbert-llm-router
 
-This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- F1: 0.0003
+- Loss: 0.2868
+- F1: 0.9285
 
 ## Model description
 
@@ -38,29 +38,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
-- train_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 32
 - eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 32
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 2
-- mixed_precision_training: Native AMP
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0           | 1.0   | 313  | nan             | 0.0003 |
-| 0.0           | 2.0   | 626  | nan             | 0.0003 |
+| 1.5656        | 1.0   | 313  | 1.1336          | 0.7859 |
+| 0.5183        | 2.0   | 626  | 0.4624          | 0.9075 |
+| 0.2383        | 3.0   | 939  | 0.3468          | 0.9185 |
+| 0.1281        | 4.0   | 1252 | 0.2912          | 0.9302 |
+| 0.0714        | 5.0   | 1565 | 0.2868          | 0.9285 |
 
 
 ### Framework versions
 
 - Transformers 4.49.0
-- Pytorch 2.4.0+cu121
+- Pytorch 2.4.1+cu121
 - Datasets 3.1.0
 - Tokenizers 0.21.0

model.safetensors

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 size 438189348

runs/Feb26_19-51-07_modal/events.out.tfevents.1740599469.modal.2.0

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