metadata
base_model: microsoft/phi-2
datasets:
- generator
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: phi-2-sft-openhermes-128k-v2
results: []
phi-2-sft-openhermes-128k-v2
This model is a fine-tuned version of microsoft/phi-2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0663
- Model Preparation Time: 0.0259
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: 1.5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 1.0842 | 0.0809 | 200 | 1.0744 | 0.0259 |
| 1.0767 | 0.1617 | 400 | 1.0724 | 0.0259 |
| 1.0997 | 0.2426 | 600 | 1.0716 | 0.0259 |
| 1.0758 | 0.3234 | 800 | 1.0707 | 0.0259 |
| 1.0949 | 0.4043 | 1000 | 1.0697 | 0.0259 |
| 1.0892 | 0.4851 | 1200 | 1.0687 | 0.0259 |
| 1.0876 | 0.5660 | 1400 | 1.0682 | 0.0259 |
| 1.0873 | 0.6469 | 1600 | 1.0676 | 0.0259 |
| 1.0679 | 0.7277 | 1800 | 1.0671 | 0.0259 |
| 1.0802 | 0.8086 | 2000 | 1.0669 | 0.0259 |
| 1.0823 | 0.8894 | 2200 | 1.0667 | 0.0259 |
| 1.0812 | 0.9703 | 2400 | 1.0663 | 0.0259 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1