| --- |
| license: mit |
| base_model: gpt2-xl |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: custom |
| 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. --> |
|
|
| # custom |
|
|
| This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3280 |
|
|
| ## 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: |
| - learning_rate: 0.001 |
| - train_batch_size: 32 |
| - eval_batch_size: 48 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.5844 | 0.68 | 200 | 1.4102 | |
| | 1.4081 | 1.37 | 400 | 1.3670 | |
| | 1.3422 | 2.05 | 600 | 1.3424 | |
| | 1.2711 | 2.73 | 800 | 1.3310 | |
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| ### Framework versions |
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|
| - Transformers 4.32.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
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|
