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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: dpt2 |
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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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# dpt2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.5055 |
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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: 4e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: sagemaker_data_parallel |
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- num_devices: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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: 4 |
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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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| 8.502 | 0.55 | 500 | 8.4534 | |
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| 8.0415 | 1.11 | 1000 | 7.9871 | |
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| 7.7597 | 1.66 | 1500 | 7.7447 | |
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| 7.6464 | 2.22 | 2000 | 7.6124 | |
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| 7.5645 | 2.77 | 2500 | 7.5410 | |
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| 7.5485 | 3.33 | 3000 | 7.5114 | |
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| 7.5596 | 3.88 | 3500 | 7.5055 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.13.3 |
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