---
license: apache-2.0
base_model: Jiayi-Pan/Tiny-Vicuna-1B
tags:
- generated_from_trainer
model-index:
- name: vicuna_1b_stage1
  results: []
datasets:
- Aeala/ShareGPT_Vicuna_unfiltered
language:
- en
metrics:
- accuracy
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/momorami-kaist/medusa_test/runs/ku8hga4l)
# vicuna_1b_stage1

This model is a fine-tuned version of [Jiayi-Pan/Tiny-Vicuna-1B](https://huggingface.co./Jiayi-Pan/Tiny-Vicuna-1B) on the Aeala/ShareGPT_Vicuna_unfiltered dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9673

## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 40
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.3461        | 0.0170 | 40   | 3.5421          |
| 3.2004        | 0.0340 | 80   | 3.1581          |
| 3.0095        | 0.0510 | 120  | 3.0506          |
| 2.714         | 0.0681 | 160  | 3.0168          |
| 2.9508        | 0.0851 | 200  | 2.9764          |
| 2.9774        | 0.1021 | 240  | 2.9598          |
| 2.8688        | 0.1191 | 280  | 2.9551          |
| 2.8195        | 0.1361 | 320  | 2.9420          |
| 2.8471        | 0.1531 | 360  | 2.9328          |
| 2.9252        | 0.1701 | 400  | 2.9673          |


### Framework versions

- Transformers 4.43.0
- Pytorch 2.3.1
- Datasets 2.15.0
- Tokenizers 0.19.1