---
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: 2.6992

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.0086        | 0.9987 | 382  | 2.6262          |
| 1.9407        | 2.0    | 765  | 2.6339          |
| 1.9151        | 2.9987 | 1147 | 2.6486          |
| 1.9198        | 4.0    | 1530 | 2.6611          |
| 1.86          | 4.9987 | 1912 | 2.6686          |
| 1.8415        | 6.0    | 2295 | 2.6788          |
| 1.7858        | 6.9987 | 2677 | 2.6880          |
| 1.7598        | 8.0    | 3060 | 2.6953          |
| 1.7996        | 8.9882 | 3438 | 2.6992          |


### Framework versions

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