phi_1.5_mfr_instruct
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4571 | 40.0 | 250 | 1.1032 |
| 0.2487 | 80.0 | 500 | 1.3577 |
| 0.1679 | 120.0 | 750 | 1.4287 |
| 0.1586 | 160.0 | 1000 | 1.4562 |
| 0.1544 | 200.0 | 1250 | 1.4729 |
| 0.1521 | 240.0 | 1500 | 1.4843 |
| 0.151 | 280.0 | 1750 | 1.4893 |
| 0.1504 | 320.0 | 2000 | 1.4898 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Vitallyy/phi_1.5_mfr_instruct
Base model
microsoft/phi-1_5