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README.md
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---
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license: mit
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base_model: gpt2-medium
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt2-medium-finetuned-contract-gen
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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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# gpt2-medium-finetuned-contract-gen
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3127
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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_with_restarts
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- lr_scheduler_warmup_steps: 241
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.4744 | 0.21 | 1000 | 0.4736 |
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| 0.467 | 0.41 | 2000 | 0.4146 |
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| 0.4089 | 0.62 | 3000 | 0.3852 |
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| 0.4018 | 0.83 | 4000 | 0.3688 |
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| 0.3475 | 1.04 | 5000 | 0.3523 |
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| 0.2751 | 1.24 | 6000 | 0.3434 |
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| 0.2966 | 1.45 | 7000 | 0.3334 |
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| 0.292 | 1.66 | 8000 | 0.3230 |
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| 0.2899 | 1.87 | 9000 | 0.3200 |
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| 0.2508 | 2.07 | 10000 | 0.3164 |
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| 0.28 | 2.28 | 11000 | 0.3127 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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