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---
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 |