|
--- |
|
license: other |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- generated_from_trainer |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
datasets: |
|
- ruozhiba |
|
base_model: 01-ai/Yi-6B |
|
model-index: |
|
- name: Yi-6B-ruozhiba |
|
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. --> |
|
|
|
# Yi-6B-ruozhiba |
|
|
|
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the ruozhiba dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.9288 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.2958 | 1.0 | 55 | 1.9636 | |
|
| 1.8837 | 2.0 | 110 | 1.9193 | |
|
| 1.7174 | 3.0 | 165 | 1.9123 | |
|
| 1.6515 | 4.0 | 220 | 1.9246 | |
|
| 1.6337 | 5.0 | 275 | 1.9288 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.36.2 |
|
- Pytorch 2.2.2+cu118 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
