---
library_name: peft
license: apache-2.0
base_model: OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5
tags:
- axolotl
- generated_from_trainer
model-index:
- name: fee64bbd-67ea-4710-9d4f-a87a35a95a31
  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>

# fee64bbd-67ea-4710-9d4f-a87a35a95a31

This model is a fine-tuned version of [OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5](https://huggingface.co/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9083

## 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: 0.000218
- 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        | 0.0001 | 1    | 3.2918          |
| 6.1834        | 0.0030 | 50   | 3.0175          |
| 6.0544        | 0.0060 | 100  | 2.9833          |
| 5.9209        | 0.0090 | 150  | 2.9660          |
| 5.8253        | 0.0120 | 200  | 2.9501          |
| 5.8927        | 0.0150 | 250  | 2.9330          |
| 5.7712        | 0.0180 | 300  | 2.9226          |
| 5.8339        | 0.0210 | 350  | 2.9178          |
| 5.8031        | 0.0240 | 400  | 2.9119          |
| 5.8225        | 0.0270 | 450  | 2.9104          |
| 5.913         | 0.0300 | 500  | 2.9083          |


### Framework versions

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