---
license: apache-2.0
base_model: unsloth/tinyllama-bnb-4bit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: tinyllama-bnb-4bit-ft-codeAlpaca
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tinyllama-bnb-4bit-ft-codeAlpaca

This model is a fine-tuned version of [unsloth/tinyllama-bnb-4bit](https://huggingface.co./unsloth/tinyllama-bnb-4bit) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7926

## 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: 8
- seed: 3407
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1517        | 0.83  | 50   | 1.1598          |
| 0.9428        | 1.65  | 100  | 0.9327          |
| 0.8319        | 2.48  | 150  | 0.8448          |
| 0.8205        | 3.31  | 200  | 0.8102          |
| 0.7977        | 4.13  | 250  | 0.7966          |
| 0.763         | 4.96  | 300  | 0.7926          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0