phi-2
This model is a fine-tuned version of microsoftl on the dalyaa/darebah2400 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8341
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0567 | 0.4 | 100 | 1.0257 |
| 0.9463 | 0.8 | 200 | 0.9571 |
| 0.8397 | 1.2 | 300 | 0.9297 |
| 0.7876 | 1.6 | 400 | 0.9042 |
| 0.7484 | 2.0 | 500 | 0.8973 |
| 0.7301 | 2.4 | 600 | 0.8804 |
| 0.7023 | 2.8 | 700 | 0.8712 |
| 0.6604 | 3.2 | 800 | 0.8652 |
| 0.6727 | 3.6 | 900 | 0.8578 |
| 0.6542 | 4.0 | 1000 | 0.8549 |
| 0.6474 | 4.4 | 1100 | 0.8533 |
| 0.6208 | 4.8 | 1200 | 0.8503 |
| 0.6022 | 5.2 | 1300 | 0.8429 |
| 0.5997 | 5.6 | 1400 | 0.8488 |
| 0.6399 | 6.0 | 1500 | 0.8389 |
| 0.6273 | 6.4 | 1600 | 0.8410 |
| 0.5854 | 6.8 | 1700 | 0.8422 |
| 0.6062 | 7.2 | 1800 | 0.8360 |
| 0.5958 | 7.6 | 1900 | 0.8363 |
| 0.5933 | 8.0 | 2000 | 0.8403 |
| 0.5905 | 8.4 | 2100 | 0.8388 |
| 0.5604 | 8.8 | 2200 | 0.8366 |
| 0.572 | 9.2 | 2300 | 0.8349 |
| 0.5764 | 9.6 | 2400 | 0.8365 |
| 0.5926 | 10.0 | 2500 | 0.8341 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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