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--- |
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library_name: transformers |
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license: other |
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base_model: facebook/opt-125m |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: getcode |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# getcode |
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3129 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0004 |
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- train_batch_size: 16 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| No log | 1.0 | 22 | 1.8588 | |
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| No log | 2.0 | 44 | 1.4885 | |
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| No log | 3.0 | 66 | 1.3922 | |
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| No log | 4.0 | 88 | 1.3830 | |
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| No log | 5.0 | 110 | 1.3547 | |
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| No log | 6.0 | 132 | 1.3556 | |
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| No log | 7.0 | 154 | 1.3672 | |
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| No log | 8.0 | 176 | 1.3509 | |
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| No log | 9.0 | 198 | 1.3414 | |
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| No log | 10.0 | 220 | 1.3428 | |
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| No log | 11.0 | 242 | 1.3361 | |
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| No log | 12.0 | 264 | 1.3332 | |
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| No log | 13.0 | 286 | 1.3333 | |
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| No log | 14.0 | 308 | 1.3280 | |
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| No log | 15.0 | 330 | 1.3232 | |
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| No log | 16.0 | 352 | 1.3215 | |
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| No log | 17.0 | 374 | 1.3185 | |
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| No log | 18.0 | 396 | 1.3142 | |
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| No log | 19.0 | 418 | 1.3129 | |
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| No log | 19.0947 | 420 | 1.3129 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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