| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: GPT2_five_function_53 |
| 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_five_function_53 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.6064 |
| - Accuracy: 0.4052 |
| |
| ## 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: 53 |
| - 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 4.7541 | 1.0 | 6408 | 4.5598 | 0.3268 | |
| | 4.1833 | 2.0 | 12816 | 4.0602 | 0.3599 | |
| | 3.9344 | 3.0 | 19224 | 3.8742 | 0.3767 | |
| | 3.8132 | 4.0 | 25632 | 3.7790 | 0.3858 | |
| | 3.7206 | 5.0 | 32040 | 3.7182 | 0.3915 | |
| | 3.6507 | 6.0 | 38448 | 3.6788 | 0.3954 | |
| | 3.5926 | 7.0 | 44856 | 3.6508 | 0.3991 | |
| | 3.5419 | 8.0 | 51264 | 3.6279 | 0.4019 | |
| | 3.499 | 9.0 | 57672 | 3.6127 | 0.4039 | |
| | 3.4548 | 10.0 | 64080 | 3.6064 | 0.4052 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.1.1 |
| - Tokenizers 0.13.3 |
|
|
