---
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: laft_lug_phi
  results: []
---

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# laft_lug_phi

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the mozilla-foundation/common_voice_11_0 lg dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6248

## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 6.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4008        | 1.0   | 1549 | 2.4035          |
| 2.214         | 2.0   | 3098 | 2.2156          |
| 2.0438        | 3.0   | 4647 | 2.1054          |
| 1.5148        | 4.0   | 6196 | 2.0929          |
| 1.1932        | 5.0   | 7745 | 2.3810          |
| 0.5055        | 6.0   | 9294 | 2.6248          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1