---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2_finetuned_SparC_Hugging_face
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2_finetuned_SparC_Hugging_face

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9575

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9133        | 1.0   | 95   | 0.9611          |
| 0.9644        | 2.0   | 190  | 0.9500          |
| 0.8763        | 3.0   | 285  | 0.9580          |
| 0.8368        | 4.0   | 380  | 0.9509          |
| 0.8647        | 5.0   | 475  | 0.9518          |
| 0.865         | 6.0   | 570  | 0.9575          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3