---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: sft_cml4
  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. -->

# sft_cml4

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: 3.6611

## 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: 3
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.1822        | 0.1200 | 200  | 3.9880          |
| 3.9009        | 0.2400 | 400  | 3.9248          |
| 3.7846        | 0.3599 | 600  | 3.9328          |
| 3.7095        | 0.4799 | 800  | 3.8393          |
| 3.5043        | 0.5999 | 1000 | 3.8130          |
| 3.4826        | 0.7199 | 1200 | 3.7608          |
| 3.3511        | 0.8398 | 1400 | 3.6997          |
| 3.3243        | 0.9598 | 1600 | 3.6349          |
| 2.5235        | 1.0798 | 1800 | 3.7826          |
| 2.0758        | 1.1998 | 2000 | 3.7627          |
| 2.0932        | 1.3197 | 2200 | 3.7233          |
| 1.9962        | 1.4397 | 2400 | 3.7059          |
| 2.0072        | 1.5597 | 2600 | 3.6756          |
| 1.9642        | 1.6797 | 2800 | 3.6801          |
| 1.9062        | 1.7996 | 3000 | 3.6658          |
| 1.9279        | 1.9196 | 3200 | 3.6611          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1