phi2_mrqa_v2
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1123
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5938 | 0.5 | 100 | 1.2202 |
| 1.2563 | 1.0 | 200 | 1.1830 |
| 1.2218 | 1.5 | 300 | 1.1568 |
| 1.1537 | 2.0 | 400 | 1.1370 |
| 1.1376 | 2.5 | 500 | 1.1254 |
| 1.2026 | 3.0 | 600 | 1.1177 |
| 1.1269 | 3.5 | 700 | 1.1137 |
| 1.1692 | 4.0 | 800 | 1.1123 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 0
Model tree for enriquesaou/phi2_mrqa_v2
Base model
microsoft/phi-2