---
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-5e-4-50
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Yi-6B-ruozhiba-5e-4-50

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: 3.4887

## 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: 0.0005
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5872        | 2.0   | 110  | 2.0369          |
| 0.9686        | 3.0   | 165  | 2.4604          |
| 0.534         | 4.0   | 220  | 2.9133          |
| 0.2198        | 5.0   | 275  | 3.0297          |
| 0.1399        | 6.0   | 330  | 3.1912          |
| 0.1165        | 7.0   | 385  | 3.3320          |
| 0.0972        | 9.0   | 495  | 3.4838          |
| 0.1639        | 10.0  | 550  | 3.4887          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2