---
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: 3.8987

## 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: 18

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.97          | 0.9987  | 382  | 3.4996          |
| 0.9273        | 2.0     | 765  | 3.5370          |
| 0.9176        | 2.9987  | 1147 | 3.5715          |
| 0.9004        | 4.0     | 1530 | 3.6086          |
| 0.8736        | 4.9987  | 1912 | 3.6379          |
| 0.8599        | 6.0     | 2295 | 3.6761          |
| 0.7955        | 6.9987  | 2677 | 3.7044          |
| 0.7741        | 8.0     | 3060 | 3.7346          |
| 0.7364        | 8.9987  | 3442 | 3.7615          |
| 0.7605        | 10.0    | 3825 | 3.7855          |
| 0.695         | 10.9987 | 4207 | 3.8088          |
| 0.7111        | 12.0    | 4590 | 3.8332          |
| 0.6849        | 12.9987 | 4972 | 3.8490          |
| 0.6862        | 14.0    | 5355 | 3.8659          |
| 0.6834        | 14.9987 | 5737 | 3.8785          |
| 0.6541        | 16.0    | 6120 | 3.8898          |
| 0.646         | 16.9987 | 6502 | 3.8961          |
| 0.6777        | 17.9765 | 6876 | 3.8987          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1