metadata
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-model-instruction
results: []
phi-1_5-finetuned-model-instruction
This model is a fine-tuned version of microsoft/phi-1_5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0478
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: 0.0004
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1228 | 0.81 | 250 | 2.1649 |
| 2.0486 | 1.62 | 500 | 2.1162 |
| 1.9924 | 2.44 | 750 | 2.0775 |
| 1.9132 | 3.25 | 1000 | 2.0590 |
| 1.8639 | 4.06 | 1250 | 2.0433 |
| 1.8384 | 4.87 | 1500 | 2.0478 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1