results
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: 1.0751
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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.2434 | 0.72 | 100 | 1.2548 |
0.772 | 1.45 | 200 | 0.8910 |
0.5866 | 2.17 | 300 | 0.8081 |
0.5755 | 2.9 | 400 | 0.7824 |
0.3935 | 3.62 | 500 | 0.8343 |
0.2616 | 4.35 | 600 | 0.8752 |
0.244 | 5.07 | 700 | 0.8777 |
0.2414 | 5.8 | 800 | 0.9291 |
0.19 | 6.52 | 900 | 1.0490 |
0.1828 | 7.25 | 1000 | 1.0226 |
0.1939 | 7.97 | 1100 | 1.0120 |
0.1647 | 8.7 | 1200 | 1.0177 |
0.1544 | 9.42 | 1300 | 1.0751 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
Model tree for Lalith16/zephyr-finetuned-10epoch-NXAIR
Base model
mistralai/Mistral-7B-v0.1
Finetuned
HuggingFaceH4/zephyr-7b-beta