b91637bc-5f9e-4aa8-99f3-6d6a5e07cd93
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1745
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: 0.000218
- 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: 317
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0032 | 1 | 1.9999 |
| 1.587 | 0.1577 | 50 | 1.6202 |
| 1.392 | 0.3155 | 100 | 1.4888 |
| 1.1717 | 0.4732 | 150 | 1.3057 |
| 1.0579 | 0.6309 | 200 | 1.2638 |
| 1.112 | 0.7886 | 250 | 1.2128 |
| 1.126 | 0.9464 | 300 | 1.1745 |
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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Model tree for lesso18/b91637bc-5f9e-4aa8-99f3-6d6a5e07cd93
Base model
microsoft/phi-1_5