09748581-082f-4287-a787-0073f78fb33b
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: 1.1779
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: 0.000211
- 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 |
| 1.5973 | 0.1577 | 50 | 1.6189 |
| 1.3955 | 0.3155 | 100 | 1.4848 |
| 1.1691 | 0.4732 | 150 | 1.3193 |
| 1.0687 | 0.6309 | 200 | 1.2686 |
| 1.112 | 0.7886 | 250 | 1.2173 |
| 1.1275 | 0.9464 | 300 | 1.1779 |
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 lesso11/09748581-082f-4287-a787-0073f78fb33b
Base model
microsoft/phi-1_5