---
library_name: peft
base_model: furiosa-ai/mlperf-gpt-j-6b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3f392a82-7317-410a-b9d2-7584c12e3b75
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# 3f392a82-7317-410a-b9d2-7584c12e3b75

This model is a fine-tuned version of [furiosa-ai/mlperf-gpt-j-6b](https://huggingface.co/furiosa-ai/mlperf-gpt-j-6b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3932

## 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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0003 | 1    | 1.1695          |
| 1.0847        | 0.0132 | 50   | 0.5845          |
| 1.1106        | 0.0263 | 100  | 0.5472          |
| 0.9234        | 0.0395 | 150  | 0.4895          |
| 0.8922        | 0.0527 | 200  | 0.5079          |
| 0.8732        | 0.0658 | 250  | 0.4616          |
| 0.8678        | 0.0790 | 300  | 0.4378          |
| 0.8224        | 0.0922 | 350  | 0.4151          |
| 0.7593        | 0.1053 | 400  | 0.4000          |
| 0.7476        | 0.1185 | 450  | 0.3938          |
| 0.8184        | 0.1316 | 500  | 0.3932          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1