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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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