metadata
library_name: peft
license: other
base_model: microsoft/Phi-3-mini-4k-instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: lora
results: []
lora
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the flock_task5_tranning dataset. It achieves the following results on the evaluation set:
- Loss: 0.0052
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: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 2
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5231 | 2.5 | 10 | 1.6286 |
| 1.4069 | 5.0 | 20 | 1.4773 |
| 1.2518 | 7.5 | 30 | 1.3657 |
| 1.3069 | 10.0 | 40 | 1.2441 |
| 1.0816 | 12.5 | 50 | 1.0924 |
| 1.0063 | 15.0 | 60 | 0.9201 |
| 0.666 | 17.5 | 70 | 0.7236 |
| 0.5723 | 20.0 | 80 | 0.5105 |
| 0.3671 | 22.5 | 90 | 0.3136 |
| 0.2108 | 25.0 | 100 | 0.1737 |
| 0.1203 | 27.5 | 110 | 0.0830 |
| 0.069 | 30.0 | 120 | 0.0397 |
| 0.0233 | 32.5 | 130 | 0.0212 |
| 0.0158 | 35.0 | 140 | 0.0129 |
| 0.0104 | 37.5 | 150 | 0.0093 |
| 0.0081 | 40.0 | 160 | 0.0076 |
| 0.0073 | 42.5 | 170 | 0.0066 |
| 0.0072 | 45.0 | 180 | 0.0060 |
| 0.0062 | 47.5 | 190 | 0.0056 |
| 0.0063 | 50.0 | 200 | 0.0054 |
| 0.0068 | 52.5 | 210 | 0.0053 |
| 0.0064 | 55.0 | 220 | 0.0052 |
| 0.0061 | 57.5 | 230 | 0.0052 |
| 0.0056 | 60.0 | 240 | 0.0052 |
Framework versions
- PEFT 0.12.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0