metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: logs
results: []
logs
This model is a fine-tuned version of microsoft/phi-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4052
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8067 | 1.0 | 112 | 1.5200 |
| 1.5055 | 2.0 | 225 | 1.4345 |
| 1.5221 | 3.0 | 337 | 1.4083 |
| 1.4956 | 3.98 | 448 | 1.4052 |
Framework versions
- PEFT 0.7.1
- Transformers 4.38.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0