---
language:
- fy
base_model: distil-small.en
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_6_1
model-index:
- name: DistilFT-Frisian-10h
  results: []
---

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# DistilFT-Frisian-10h

This model is a fine-tuned version of [distil-small.en](https://huggingface.co/distil-small.en) on the mozilla-foundation/common_voice_6_fy_NL dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3027
- eval_wer: 61.4400
- eval_runtime: 570.9376
- eval_samples_per_second: 5.29
- eval_steps_per_second: 0.662
- epoch: 4.8128
- step: 4500

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 5000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1