---
license: apache-2.0
base_model: JackFram/llama-68m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: recreate_llama_68M_vanilla
  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. -->

# recreate_llama_68M_vanilla

This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the anon8231489123/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json dataset.
It achieves the following results on the evaluation set:
- Loss: 9.5494
- Accuracy: 0.3512

## 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: 0.005
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.3125 | 10   | 7.9370          | 0.3676   |
| No log        | 0.625  | 20   | 8.6808          | 0.3478   |
| No log        | 0.9375 | 30   | 10.9798         | 0.1029   |
| No log        | 1.25   | 40   | 10.3023         | 0.2493   |
| No log        | 1.5625 | 50   | 9.7688          | 0.3501   |
| No log        | 1.875  | 60   | 9.6190          | 0.3510   |
| No log        | 2.1875 | 70   | 9.5617          | 0.3510   |
| No log        | 2.5    | 80   | 9.5470          | 0.3511   |
| No log        | 2.8125 | 90   | 9.5487          | 0.3511   |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1