cec19b0f-c962-4fd2-8c81-1a85b78da99a
This model is a fine-tuned version of heegyu/WizardVicuna2-13b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8371
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: 0.000201
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0001 | 1 | 2.6399 |
| 2.2116 | 0.0038 | 50 | 2.1834 |
| 2.0063 | 0.0075 | 100 | 2.0659 |
| 1.9861 | 0.0113 | 150 | 2.0074 |
| 1.9512 | 0.0150 | 200 | 1.9694 |
| 1.9504 | 0.0188 | 250 | 1.9343 |
| 1.9171 | 0.0226 | 300 | 1.8979 |
| 1.9763 | 0.0263 | 350 | 1.8712 |
| 1.9024 | 0.0301 | 400 | 1.8463 |
| 1.9429 | 0.0338 | 450 | 1.8385 |
| 1.8925 | 0.0376 | 500 | 1.8371 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
heegyu/WizardVicuna2-13b-hf