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Yi-6B-ruozhiba2
yyx123/Yi-6B-ruozhiba2
Yi-6B-ruozhiba2 is a machine learning model from yyx123. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Model type
- llama
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- May 6, 2024
- SHA
- 46c57e6e
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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-ruozhiba2
This model is a fine-tuned version of 01-ai/Yi-6B on the ruozhiba dataset. It achieves the following results on the evaluation set:
- Loss: 4.3202
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7303 | 1.0 | 55 | 2.2761 |
| 2.0833 | 2.0 | 110 | 1.9984 |
| 1.8367 | 3.0 | 165 | 1.9820 |
| 1.3057 | 5.0 | 275 | 2.2829 |
| 0.972 | 6.0 | 330 | 2.6339 |
| 0.6803 | 7.0 | 385 | 2.9009 |
| 0.4926 | 8.0 | 440 | 3.1734 |
| 0.3161 | 9.0 | 495 | 3.3547 |
| 0.2503 | 10.0 | 550 | 3.6204 |
| 0.1914 | 11.0 | 605 | 3.7289 |
| 0.1431 | 12.0 | 660 | 3.8908 |
| 0.1286 | 13.0 | 715 | 4.0403 |
| 0.1169 | 14.0 | 770 | 4.1426 |
| 0.1122 | 15.0 | 825 | 4.1888 |
| 0.1046 | 16.0 | 880 | 4.2556 |
| 0.1045 | 17.0 | 935 | 4.2806 |
| 0.1203 | 18.0 | 990 | 4.3127 |
| 0.1097 | 19.0 | 1045 | 4.3194 |
| 0.1087 | 20.0 | 1100 | 4.3202 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2
- Library
- peft
- Type
- llama
- License
- other
- Created
- Apr 17, 2024
- Updated
- May 6, 2024