---
base_model: lvwerra/gpt2-imdb
tags:
- generated_from_trainer
model-index:
- name: training
  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. -->

# training

This model is a fine-tuned version of [lvwerra/gpt2-imdb](https://huggingface.co/lvwerra/gpt2-imdb) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4649
- Rewards/chosen: 1.1097
- Rewards/rejected: 0.3323
- Rewards/accuracies: 0.8186
- Rewards/margins: 0.7774
- Logps/rejected: -143.4800
- Logps/chosen: -175.0714
- Logits/rejected: -35.2043
- Logits/chosen: -32.7114

## 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: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| No log        | 0.55  | 400  | 0.6593          | 1.0074         | 0.5904           | 0.7357             | 0.4170          | -140.8990      | -176.0949    | -35.9356        | -33.1922      |
| 0.7974        | 1.11  | 800  | 0.5807          | 1.1511         | 0.5902           | 0.7634             | 0.5610          | -140.9016      | -174.6575    | -35.9192        | -33.2655      |
| 0.5983        | 1.66  | 1200 | 0.5200          | 1.0697         | 0.4300           | 0.7979             | 0.6397          | -142.5030      | -175.4720    | -35.5696        | -33.0300      |
| 0.4982        | 2.21  | 1600 | 0.4807          | 1.1128         | 0.3733           | 0.8158             | 0.7395          | -143.0704      | -175.0409    | -35.2967        | -32.7791      |
| 0.4663        | 2.77  | 2000 | 0.4649          | 1.1097         | 0.3323           | 0.8186             | 0.7774          | -143.4800      | -175.0714    | -35.2043        | -32.7114      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0