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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: prompt-extend |
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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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# prompt-extend |
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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: 2.1502 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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_ratio: 0.1 |
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- num_epochs: 3 |
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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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| 6.3823 | 0.35 | 100 | 4.2083 | |
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| 3.72 | 0.69 | 200 | 3.2991 | |
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| 3.1185 | 1.04 | 300 | 2.8394 | |
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| 2.7284 | 1.39 | 400 | 2.5546 | |
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| 2.4932 | 1.74 | 500 | 2.3679 | |
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| 2.3408 | 2.08 | 600 | 2.2430 | |
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| 2.1997 | 2.43 | 700 | 2.1748 | |
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| 2.1631 | 2.78 | 800 | 2.1502 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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