---
license: mit
tags:
- generated_from_trainer
model-index:
- name: moses_cbgpt
  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. -->

# moses_cbgpt

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: 0.5234

## 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: 0.0004
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9833        | 0.18  | 1000  | 0.7188          |
| 0.6852        | 0.36  | 2000  | 0.6362          |
| 0.6347        | 0.54  | 3000  | 0.6076          |
| 0.6094        | 0.72  | 4000  | 0.5887          |
| 0.5908        | 0.9   | 5000  | 0.5725          |
| 0.5743        | 1.08  | 6000  | 0.5608          |
| 0.5606        | 1.26  | 7000  | 0.5483          |
| 0.5492        | 1.44  | 8000  | 0.5373          |
| 0.5396        | 1.62  | 9000  | 0.5298          |
| 0.5327        | 1.79  | 10000 | 0.5248          |
| 0.5289        | 1.97  | 11000 | 0.5234          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3