---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
datasets:
- ag_news
model-index:
- name: sft_cml4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sft_cml4

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the ag_news dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3980

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7271        | 0.32  | 200  | 3.6065          |
| 3.346         | 0.64  | 400  | 3.4732          |
| 3.0685        | 0.96  | 600  | 3.3985          |
| 2.1435        | 1.28  | 800  | 3.4433          |
| 1.9834        | 1.6   | 1000 | 3.4203          |
| 1.8937        | 1.92  | 1200 | 3.3980          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.14.0