139c6e9f-c63a-400e-a573-810f3f6257b5
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: 1.4898
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: 0.000215
- train_batch_size: 4
- eval_batch_size: 4
- seed: 150
- 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 | 1.7988 |
| 1.6228 | 0.0042 | 50 | 1.5822 |
| 1.5337 | 0.0084 | 100 | 1.5352 |
| 1.5351 | 0.0127 | 150 | 1.5190 |
| 1.5291 | 0.0169 | 200 | 1.5099 |
| 1.4818 | 0.0211 | 250 | 1.5024 |
| 1.4953 | 0.0253 | 300 | 1.4978 |
| 1.4555 | 0.0296 | 350 | 1.4940 |
| 1.4911 | 0.0338 | 400 | 1.4916 |
| 1.4347 | 0.0380 | 450 | 1.4901 |
| 1.5156 | 0.0422 | 500 | 1.4898 |
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 lesso15/139c6e9f-c63a-400e-a573-810f3f6257b5
Base model
microsoft/phi-1_5