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: 0.6570
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 |
---|---|---|---|
1.0381 | 0.17 | 50 | 1.1373 |
0.7645 | 0.35 | 100 | 1.0030 |
0.7008 | 0.52 | 150 | 0.8769 |
0.6463 | 0.69 | 200 | 0.8396 |
0.6139 | 0.87 | 250 | 0.7906 |
0.6415 | 1.04 | 300 | 0.7021 |
0.5952 | 1.22 | 350 | 0.6840 |
0.5802 | 1.39 | 400 | 0.7160 |
0.6116 | 1.56 | 450 | 0.6585 |
0.5921 | 1.74 | 500 | 0.6428 |
0.5532 | 1.91 | 550 | 0.6181 |
0.4655 | 2.08 | 600 | 0.6465 |
0.4249 | 2.26 | 650 | 0.6487 |
0.4441 | 2.43 | 700 | 0.6431 |
0.4652 | 2.6 | 750 | 0.6256 |
0.4325 | 2.78 | 800 | 0.6412 |
0.4728 | 2.95 | 850 | 0.6173 |
0.3161 | 3.12 | 900 | 0.6945 |
0.3375 | 3.3 | 950 | 0.6501 |
0.3509 | 3.47 | 1000 | 0.6561 |
0.3519 | 3.65 | 1050 | 0.6765 |
0.3379 | 3.82 | 1100 | 0.6570 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
Model tree for codewizardUV/comp_comp_large_dataset
Base model
mistralai/Mistral-7B-v0.1
Finetuned
HuggingFaceH4/zephyr-7b-beta