---
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: gpt2-medium-finetuned-contract-gen
  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. -->

# gpt2-medium-finetuned-contract-gen

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3127

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 241
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4744        | 0.21  | 1000  | 0.4736          |
| 0.467         | 0.41  | 2000  | 0.4146          |
| 0.4089        | 0.62  | 3000  | 0.3852          |
| 0.4018        | 0.83  | 4000  | 0.3688          |
| 0.3475        | 1.04  | 5000  | 0.3523          |
| 0.2751        | 1.24  | 6000  | 0.3434          |
| 0.2966        | 1.45  | 7000  | 0.3334          |
| 0.292         | 1.66  | 8000  | 0.3230          |
| 0.2899        | 1.87  | 9000  | 0.3200          |
| 0.2508        | 2.07  | 10000 | 0.3164          |
| 0.28          | 2.28  | 11000 | 0.3127          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3