---
library_name: peft
license: apache-2.0
base_model: EleutherAI/pythia-410m-deduped
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 5e94c9e5-cf22-4b87-af86-7ba703fd4d51
  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>

# 5e94c9e5-cf22-4b87-af86-7ba703fd4d51

This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8746

## 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: 0.000213
- train_batch_size: 4
- eval_batch_size: 4
- seed: 130
- 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        | 0.0005 | 1    | 4.2553          |
| 3.1617        | 0.0239 | 50   | 1.5512          |
| 2.4236        | 0.0478 | 100  | 1.1036          |
| 2.8939        | 0.0717 | 150  | 1.2150          |
| 2.4033        | 0.0956 | 200  | 1.0835          |
| 2.5615        | 0.1194 | 250  | 1.1375          |
| 2.4282        | 0.1433 | 300  | 1.0521          |
| 2.3871        | 0.1672 | 350  | 0.9657          |
| 2.2564        | 0.1911 | 400  | 0.9130          |
| 2.1484        | 0.2150 | 450  | 0.8792          |
| 2.0612        | 0.2389 | 500  | 0.8746          |


### Framework versions

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