CloudflareTunedModel
This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4473
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.56 | 1 | 2.9512 |
No log | 1.67 | 3 | 2.9727 |
No log | 2.78 | 5 | 3.2578 |
No log | 3.89 | 7 | 2.9238 |
No log | 5.0 | 9 | 3.3867 |
0.916 | 5.56 | 10 | 3.3066 |
0.916 | 6.67 | 12 | 3.2090 |
0.916 | 7.78 | 14 | 3.4980 |
0.916 | 8.89 | 16 | 3.5098 |
0.916 | 10.0 | 18 | 3.4434 |
0.916 | 10.56 | 19 | 3.4375 |
0.1354 | 11.67 | 21 | 3.4238 |
0.1354 | 12.78 | 23 | 3.4336 |
0.1354 | 13.89 | 25 | 3.4473 |
0.1354 | 15.0 | 27 | 3.4492 |
0.1354 | 15.56 | 28 | 3.4492 |
0.0754 | 16.67 | 30 | 3.4473 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for BroBro87/CloudflareTunedModel
Base model
stabilityai/stablelm-zephyr-3b