---
license: apache-2.0
tags:
- generated_from_trainer
base_model: JackFram/llama-68m
model-index:
- name: llama-68m-oasst_top1_2023-08-25
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama-68m-oasst_top1_2023-08-25

This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1780

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.5174        | 0.9922 | 95   | 3.3601          |
| 3.2821        | 1.9948 | 191  | 3.2136          |
| 3.2174        | 2.9765 | 285  | 3.1780          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1