peft tensorboard safetensors generated_from_trainer base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
model-index:
- name: logs
  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. -->

# logs

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7854

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9083        | 0.16  | 100  | 0.9578          |
| 0.7997        | 0.32  | 200  | 0.9078          |
| 0.7535        | 0.48  | 300  | 0.8746          |
| 0.7232        | 0.64  | 400  | 0.8580          |
| 0.6994        | 0.8   | 500  | 0.8348          |
| 0.6882        | 0.96  | 600  | 0.8228          |
| 0.6433        | 1.12  | 700  | 0.8008          |
| 0.5995        | 1.28  | 800  | 0.7912          |
| 0.5908        | 1.44  | 900  | 0.7864          |
| 0.5902        | 1.6   | 1000 | 0.7836          |
| 0.5671        | 1.76  | 1100 | 0.7850          |
| 0.5749        | 1.92  | 1200 | 0.7854          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1