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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ms-4maps_nonalpha-ds |
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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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# ms-4maps_nonalpha-ds |
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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: 6.0690 |
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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: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.3876 | 0.1 | 100 | 6.3259 | |
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| 6.3259 | 0.2 | 200 | 6.3044 | |
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| 6.3008 | 0.3 | 300 | 6.2929 | |
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| 6.2811 | 0.39 | 400 | 6.2448 | |
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| 6.2072 | 0.49 | 500 | 6.1656 | |
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| 6.1554 | 0.59 | 600 | 6.1266 | |
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| 6.1135 | 0.69 | 700 | 6.0980 | |
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| 6.1011 | 0.79 | 800 | 6.0825 | |
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| 6.0908 | 0.89 | 900 | 6.0715 | |
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| 6.0836 | 0.99 | 1000 | 6.0690 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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