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---
license: other
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- zhihu
base_model: 01-ai/Yi-6B
model-index:
- name: Yi-6B-zhihu7
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-zhihu7
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the zhihu dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5970
## 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-06
- train_batch_size: 8
- 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: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6831 | 1.0 | 96 | 2.6346 |
| 2.6684 | 2.0 | 192 | 2.6288 |
| 2.687 | 3.0 | 288 | 2.6192 |
| 2.6597 | 4.0 | 384 | 2.6109 |
| 2.6019 | 5.0 | 480 | 2.6054 |
| 2.6118 | 6.0 | 576 | 2.6022 |
| 2.7286 | 7.0 | 672 | 2.6001 |
| 2.6341 | 8.0 | 768 | 2.5987 |
| 2.572 | 9.0 | 864 | 2.5979 |
| 2.622 | 10.0 | 960 | 2.5974 |
| 2.6404 | 11.0 | 1056 | 2.5972 |
| 2.6607 | 12.0 | 1152 | 2.5971 |
| 2.5324 | 13.0 | 1248 | 2.5971 |
| 2.5472 | 14.0 | 1344 | 2.5970 |
| 2.539 | 15.0 | 1440 | 2.5970 |
| 2.5757 | 16.0 | 1536 | 2.5971 |
| 2.6495 | 17.0 | 1632 | 2.5970 |
| 2.5647 | 18.0 | 1728 | 2.5970 |
| 2.5605 | 19.0 | 1824 | 2.5970 |
| 2.6608 | 20.0 | 1920 | 2.5970 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2 |