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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: sft_cml4 |
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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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# sft_cml4 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6611 |
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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: 0.0005 |
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- train_batch_size: 3 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 2 |
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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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| 4.1822 | 0.1200 | 200 | 3.9880 | |
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| 3.9009 | 0.2400 | 400 | 3.9248 | |
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| 3.7846 | 0.3599 | 600 | 3.9328 | |
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| 3.7095 | 0.4799 | 800 | 3.8393 | |
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| 3.5043 | 0.5999 | 1000 | 3.8130 | |
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| 3.4826 | 0.7199 | 1200 | 3.7608 | |
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| 3.3511 | 0.8398 | 1400 | 3.6997 | |
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| 3.3243 | 0.9598 | 1600 | 3.6349 | |
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| 2.5235 | 1.0798 | 1800 | 3.7826 | |
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| 2.0758 | 1.1998 | 2000 | 3.7627 | |
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| 2.0932 | 1.3197 | 2200 | 3.7233 | |
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| 1.9962 | 1.4397 | 2400 | 3.7059 | |
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| 2.0072 | 1.5597 | 2600 | 3.6756 | |
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| 1.9642 | 1.6797 | 2800 | 3.6801 | |
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| 1.9062 | 1.7996 | 3000 | 3.6658 | |
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| 1.9279 | 1.9196 | 3200 | 3.6611 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.2+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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