---
license: apache-2.0
base_model: EleutherAI/pythia-410m
tags:
- generated_from_trainer
model-index:
- name: instruction_finetuned_1200_steps
  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. -->

# instruction_finetuned_1200_steps

This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1967

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4451        | 0.05  | 120  | 1.2970          |
| 1.2442        | 0.11  | 240  | 1.2837          |
| 1.2821        | 0.16  | 360  | 1.2557          |
| 1.2628        | 0.21  | 480  | 1.2451          |
| 1.2579        | 0.27  | 600  | 1.2359          |
| 1.3943        | 0.32  | 720  | 1.2239          |
| 1.11          | 0.37  | 840  | 1.2141          |
| 1.2382        | 0.43  | 960  | 1.2079          |
| 1.54          | 0.48  | 1080 | 1.1994          |
| 1.0787        | 0.53  | 1200 | 1.1967          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1