metadata
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: V0413MP32
results: []
V0413MP32
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: 0.0703
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: 0.003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 20
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1361 | 0.18 | 20 | 0.1141 |
| 0.1496 | 0.36 | 40 | 0.0997 |
| 0.097 | 0.54 | 60 | 0.0812 |
| 0.0778 | 0.73 | 80 | 0.0788 |
| 0.0787 | 0.91 | 100 | 0.0725 |
| 0.0767 | 1.09 | 120 | 0.0729 |
| 0.073 | 1.27 | 140 | 0.0741 |
| 0.075 | 1.45 | 160 | 0.0705 |
| 0.0668 | 1.63 | 180 | 0.0718 |
| 0.0705 | 1.81 | 200 | 0.0703 |
| 0.0678 | 1.99 | 220 | 0.0703 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1