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--- |
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license: mit |
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base_model: Toflamus/GPT-2_para3M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Output |
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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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# Output |
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This model is a fine-tuned version of [Toflamus/GPT-2_para3M](https://huggingface.co/Toflamus/GPT-2_para3M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.9785 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 7.6797 | 0.27 | 100 | 7.0355 | |
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| 6.9842 | 0.55 | 200 | 6.6754 | |
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| 6.7517 | 0.82 | 300 | 6.5074 | |
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| 6.6145 | 1.09 | 400 | 6.3942 | |
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| 6.5294 | 1.37 | 500 | 6.3043 | |
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| 6.4228 | 1.64 | 600 | 6.2332 | |
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| 6.3582 | 1.91 | 700 | 6.1772 | |
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| 6.3 | 2.19 | 800 | 6.1279 | |
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| 6.2841 | 2.46 | 900 | 6.0878 | |
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| 6.2103 | 2.73 | 1000 | 6.0572 | |
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| 6.1908 | 3.01 | 1100 | 6.0325 | |
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| 6.1733 | 3.28 | 1200 | 6.0132 | |
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| 6.1383 | 3.55 | 1300 | 5.9991 | |
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| 6.149 | 3.83 | 1400 | 5.9901 | |
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| 6.1383 | 4.1 | 1500 | 5.9836 | |
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| 6.1155 | 4.37 | 1600 | 5.9800 | |
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| 6.1275 | 4.65 | 1700 | 5.9788 | |
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| 6.1257 | 4.92 | 1800 | 5.9785 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.2 |
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