---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: ai-forever/mGPT
model-index:
- name: shawgpt-ft
  results: []
---

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

This model is a fine-tuned version of [ai-forever/mGPT](https://huggingface.co/ai-forever/mGPT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2763

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2182        | 1.0   | 10   | 4.1588          |
| 4.297         | 2.0   | 20   | 3.9610          |
| 4.0452        | 3.0   | 30   | 3.5918          |
| 3.7856        | 4.0   | 40   | 3.4631          |
| 3.5564        | 5.0   | 50   | 3.3876          |
| 3.5076        | 6.0   | 60   | 3.3417          |
| 3.4227        | 7.0   | 70   | 3.3129          |
| 3.4815        | 8.0   | 80   | 3.2946          |
| 3.4417        | 9.0   | 90   | 3.2829          |
| 3.4683        | 10.0  | 100  | 3.2763          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1