| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: GPT2_bigram_function_67 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # GPT2_bigram_function_67 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.6933 |
| - Accuracy: 0.3575 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 67 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 10000 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 4.8987 | 1.0 | 6420 | 4.6828 | 0.2572 | |
| | 4.2909 | 2.0 | 12840 | 4.1652 | 0.2996 | |
| | 4.0369 | 3.0 | 19260 | 3.9763 | 0.3198 | |
| | 3.9112 | 4.0 | 25680 | 3.8777 | 0.3323 | |
| | 3.8154 | 5.0 | 32100 | 3.8142 | 0.3407 | |
| | 3.7425 | 6.0 | 38520 | 3.7721 | 0.3456 | |
| | 3.6848 | 7.0 | 44940 | 3.7400 | 0.3502 | |
| | 3.6311 | 8.0 | 51360 | 3.7170 | 0.3534 | |
| | 3.5851 | 9.0 | 57780 | 3.7017 | 0.3564 | |
| | 3.5457 | 10.0 | 64200 | 3.6933 | 0.3575 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.1.1 |
| - Tokenizers 0.13.3 |
|
|
