---
license: other
base_model: NowaBwagel0/llama-68m-oasst
tags:
- generated_from_trainer
model-index:
- name: llama-68m-oasst
  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. -->

# llama-68m-oasst

This model is a fine-tuned version of [NowaBwagel0/llama-68m-oasst](https://huggingface.co/NowaBwagel0/llama-68m-oasst) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5908

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8024        | 1.0   | 382  | 2.7493          |
| 2.6581        | 2.0   | 765  | 2.6798          |
| 2.6276        | 3.0   | 1147 | 2.6429          |
| 2.5111        | 4.0   | 1530 | 2.6212          |
| 2.4614        | 5.0   | 1912 | 2.6069          |
| 2.4789        | 6.0   | 2295 | 2.5985          |
| 2.4288        | 7.0   | 2677 | 2.5942          |
| 2.4184        | 8.0   | 3060 | 2.5909          |
| 2.2978        | 8.99  | 3438 | 2.5908          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0