---
base_model: TinyLlama/TinyLlama_v1.1
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: tinyllama_magiccoder_default
  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_magiccoder_default

This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co/TinyLlama/TinyLlama_v1.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4775

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8283        | 0.0262 | 4    | 1.9099          |
| 1.8156        | 0.0523 | 8    | 1.8872          |
| 1.7063        | 0.0785 | 12   | 1.8112          |
| 1.591         | 0.1047 | 16   | 1.6729          |
| 1.5878        | 0.1308 | 20   | 1.6188          |
| 1.5204        | 0.1570 | 24   | 1.6055          |
| 1.5278        | 0.1832 | 28   | 1.6151          |
| 1.6098        | 0.2093 | 32   | 1.6174          |
| 1.5112        | 0.2355 | 36   | 1.5811          |
| 1.6158        | 0.2617 | 40   | 1.5749          |
| 1.5373        | 0.2878 | 44   | 1.5431          |
| 1.5924        | 0.3140 | 48   | 1.5410          |
| 1.5528        | 0.3401 | 52   | 1.5142          |
| 1.5049        | 0.3663 | 56   | 1.5183          |
| 1.5983        | 0.3925 | 60   | 1.5109          |
| 1.5452        | 0.4186 | 64   | 1.5045          |
| 1.4746        | 0.4448 | 68   | 1.4973          |
| 1.4949        | 0.4710 | 72   | 1.4907          |
| 1.451         | 0.4971 | 76   | 1.4963          |
| 1.5701        | 0.5233 | 80   | 1.4952          |
| 1.5791        | 0.5495 | 84   | 1.4858          |
| 1.484         | 0.5756 | 88   | 1.4869          |
| 1.4175        | 0.6018 | 92   | 1.4846          |
| 1.4127        | 0.6280 | 96   | 1.4826          |
| 1.4919        | 0.6541 | 100  | 1.4814          |
| 1.4907        | 0.6803 | 104  | 1.4830          |
| 1.4656        | 0.7065 | 108  | 1.4812          |
| 1.4957        | 0.7326 | 112  | 1.4795          |
| 1.4742        | 0.7588 | 116  | 1.4785          |
| 1.4694        | 0.7850 | 120  | 1.4759          |
| 1.5036        | 0.8111 | 124  | 1.4754          |
| 1.4752        | 0.8373 | 128  | 1.4762          |
| 1.3607        | 0.8635 | 132  | 1.4766          |
| 1.5251        | 0.8896 | 136  | 1.4768          |
| 1.3971        | 0.9158 | 140  | 1.4773          |
| 1.4457        | 0.9419 | 144  | 1.4771          |
| 1.4743        | 0.9681 | 148  | 1.4769          |
| 1.4915        | 0.9943 | 152  | 1.4775          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1