metadata
base_model: microsoft/Phi-3.5-mini-instruct
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: phi-3.5-mini-triple-creator
results: []
phi-3.5-mini-triple-creator
This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- training_steps: 800
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0533 | 0.2222 | 100 | 0.0132 |
| 0.0 | 0.4444 | 200 | 0.0000 |
| 0.0 | 0.6667 | 300 | 0.0000 |
| 0.0 | 0.8889 | 400 | 0.0000 |
| 0.0 | 1.1111 | 500 | 0.0000 |
| 0.0 | 1.3333 | 600 | 0.0000 |
| 0.0 | 1.5556 | 700 | 0.0000 |
| 0.0 | 1.7778 | 800 | 0.0000 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.0