metadata
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: ampaphi-2
results: []
ampaphi-2
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3273
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: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 64 | 0.7778 |
| No log | 2.0 | 128 | 0.4051 |
| No log | 3.0 | 192 | 0.3413 |
| No log | 4.0 | 256 | 0.3273 |
Framework versions
- PEFT 0.8.1
- Transformers 4.38.0.dev0
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.1