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: 0.8746
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: 0.00025
- 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: 8
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5963 | 1.16 | 250 | 0.8110 |
0.3817 | 2.33 | 500 | 0.8071 |
0.3587 | 3.49 | 750 | 0.8370 |
0.3006 | 4.65 | 1000 | 0.8663 |
0.2475 | 5.81 | 1250 | 0.8424 |
0.3021 | 6.98 | 1500 | 0.8746 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
Model tree for codewizardUV/NXAIR_C
Base model
mistralai/Mistral-7B-v0.1
Finetuned
HuggingFaceH4/zephyr-7b-beta