metadata
base_model: microsoft/Phi-3.5-mini-instruct
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: outputs
results: []
outputs
This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3147
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2594 | 0.5263 | 5 | 2.2572 |
| 1.6785 | 1.0526 | 10 | 1.8170 |
| 1.6015 | 1.5789 | 15 | 1.4296 |
| 1.0556 | 2.1053 | 20 | 1.1199 |
| 0.9412 | 2.6316 | 25 | 1.0660 |
| 0.8872 | 3.1579 | 30 | 1.0523 |
| 0.9157 | 3.6842 | 35 | 1.0713 |
| 0.7735 | 4.2105 | 40 | 1.0983 |
| 0.6182 | 4.7368 | 45 | 1.0816 |
| 0.734 | 5.2632 | 50 | 1.1017 |
| 0.4736 | 5.7895 | 55 | 1.2109 |
| 0.3138 | 6.3158 | 60 | 1.2195 |
| 0.5315 | 6.8421 | 65 | 1.3147 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1