---
library_name: peft
license: apache-2.0
base_model: EleutherAI/pythia-410m-deduped
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3a627ce5-f2f1-4a24-adc3-ed73d41a9ac5
  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>

# 3a627ce5-f2f1-4a24-adc3-ed73d41a9ac5

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: 0.8325

## 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: 0.000217
- train_batch_size: 4
- eval_batch_size: 4
- seed: 170
- 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    | 4.2542          |
| 2.683         | 0.0239 | 50   | 1.3939          |
| 2.8237        | 0.0478 | 100  | 1.3520          |
| 2.5402        | 0.0717 | 150  | 1.2483          |
| 2.8376        | 0.0956 | 200  | 1.1818          |
| 2.4192        | 0.1194 | 250  | 1.1315          |
| 2.2251        | 0.1433 | 300  | 0.9749          |
| 2.3268        | 0.1672 | 350  | 0.9435          |
| 2.1456        | 0.1911 | 400  | 0.8851          |
| 2.0351        | 0.2150 | 450  | 0.8365          |
| 2.0542        | 0.2389 | 500  | 0.8325          |


### Framework versions

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