Yi-6B-ruozhiba / README.md
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---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2134
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.948 | 1.0 | 217 | 1.9488 |
| 1.7781 | 2.0 | 434 | 1.9393 |
| 1.4563 | 3.0 | 651 | 2.0187 |
| 1.3206 | 4.0 | 868 | 2.1767 |
| 1.1018 | 5.0 | 1085 | 2.2134 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2