metadata
library_name: peft
license: other
base_model: microsoft/Phi-3-medium-4k-instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_2025-04-09-16-08
results: []
train_2025-04-09-16-08
This model is a fine-tuned version of microsoft/Phi-3-medium-4k-instruct on the demo_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.5246
- Num Input Tokens Seen: 1419568
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: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.4879 | 2.2424 | 20 | 0.5867 | 356000 |
| 0.4577 | 4.4848 | 40 | 0.5385 | 712336 |
| 0.5001 | 6.7273 | 60 | 0.5248 | 1061472 |
| 0.5027 | 8.9697 | 80 | 0.5246 | 1419568 |
Framework versions
- PEFT 0.15.0
- Transformers 4.51.0
- Pytorch 2.1.0+cu118
- Datasets 3.4.1
- Tokenizers 0.21.0