---
library_name: peft
license: apache-2.0
base_model: EleutherAI/pythia-410m-deduped
tags:
- axolotl
- generated_from_trainer
model-index:
- name: eecb421a-3b79-4353-97c2-0fa385ded337
  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>

# eecb421a-3b79-4353-97c2-0fa385ded337

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: 2.8016

## 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: 0.000215
- train_batch_size: 4
- eval_batch_size: 4
- seed: 150
- 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        | 0.0009 | 1    | 4.0474          |
| 6.4608        | 0.0432 | 50   | 3.1346          |
| 6.6264        | 0.0864 | 100  | 3.3024          |
| 6.255         | 0.1295 | 150  | 3.1822          |
| 6.8375        | 0.1727 | 200  | 3.0047          |
| 6.1797        | 0.2159 | 250  | 2.9974          |
| 6.1913        | 0.2591 | 300  | 2.8754          |
| 5.8536        | 0.3022 | 350  | 2.9318          |
| 6.0825        | 0.3454 | 400  | 2.8580          |
| 6.3589        | 0.3886 | 450  | 2.7873          |
| 5.9893        | 0.4318 | 500  | 2.8016          |


### Framework versions

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