---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Qwen/Qwen1.5-4B-Chat
model-index:
- name: temps
  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. -->

# temps

This model is a fine-tuned version of [Qwen/Qwen1.5-4B-Chat](https://huggingface.co/Qwen/Qwen1.5-4B-Chat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2647

## 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: 1
- 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: constant
- lr_scheduler_warmup_steps: 2
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4933        | 0.95  | 9    | 1.3903          |
| 1.1607        | 2.0   | 19   | 0.9786          |
| 0.9208        | 2.95  | 28   | 0.6901          |
| 0.5404        | 4.0   | 38   | 0.4664          |
| 0.3362        | 4.95  | 47   | 0.3509          |
| 0.1628        | 6.0   | 57   | 0.2848          |
| 0.117         | 6.95  | 66   | 0.2630          |
| 0.074         | 8.0   | 76   | 0.2563          |
| 0.0727        | 8.95  | 85   | 0.2402          |
| 0.0613        | 10.0  | 95   | 0.2536          |
| 0.0597        | 10.95 | 104  | 0.2642          |
| 0.0508        | 12.0  | 114  | 0.2567          |
| 0.0558        | 12.95 | 123  | 0.2476          |
| 0.0477        | 14.0  | 133  | 0.2648          |
| 0.0537        | 14.95 | 142  | 0.2691          |
| 0.0447        | 16.0  | 152  | 0.2629          |
| 0.0473        | 16.95 | 161  | 0.2812          |
| 0.0421        | 18.0  | 171  | 0.2566          |
| 0.0428        | 18.95 | 180  | 0.2647          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.3
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1