---
base_model: EleutherAI/pythia-160m
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Elue-160M-Lora-0913
  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. -->

# Elue-160M-Lora-0913

This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co./EleutherAI/pythia-160m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3175

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 90   | 2.5041          |
| No log        | 2.0   | 180  | 2.3353          |
| No log        | 3.0   | 270  | 2.3175          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1