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experiments500czephymodelngay8t6
trungtienluong/experiments500czephymodelngay8t6
experiments500czephymodelngay8t6 is a machine learning model from trungtienluong. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024
- SHA
- 9dee3849
Base models
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. -->
experiments500czephymodel
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3252
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3186 | 0.88 | 50 | 0.2878 |
| 0.2214 | 1.77 | 100 | 0.2463 |
| 0.1555 | 2.65 | 150 | 0.2328 |
| 0.0922 | 3.54 | 200 | 0.2362 |
| 0.0659 | 4.42 | 250 | 0.2527 |
| 0.0373 | 5.31 | 300 | 0.2691 |
| 0.0282 | 6.19 | 350 | 0.2968 |
| 0.0268 | 7.08 | 400 | 0.2900 |
| 0.0251 | 7.96 | 450 | 0.3078 |
| 0.0207 | 8.85 | 500 | 0.3252 |
| 0.0198 | 9.73 | 550 | 0.3269 |
Framework versions
- PEFT 0.11.1
- Transformers 4.36.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024