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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# laft_kin_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 rw dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1183

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 2.2216        | 1.0   | 22149  | 2.3216          |
| 2.1631        | 2.0   | 44298  | 2.2381          |
| 2.4736        | 3.0   | 66447  | 2.1511          |
| 2.0668        | 4.0   | 88596  | 2.0507          |
| 1.6381        | 5.0   | 110745 | 2.0009          |
| 1.2584        | 6.0   | 132894 | 2.1183          |


### Framework versions

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