metadata
base_model: microsoft/phi-2
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: final-checkpoint
results: []
final-checkpoint
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: 0.1810
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: 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_steps: 2
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9443 | 4.6512 | 50 | 0.3824 |
| 0.2665 | 9.3023 | 100 | 0.2402 |
| 0.1542 | 13.9535 | 150 | 0.1915 |
| 0.1077 | 18.6047 | 200 | 0.1810 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1