transformers tensorboard safetensors wav2vec2 automatic-speech-recognition hf-asr-leaderboard generated_from_trainer tr dataset:a base_model:facebook/mms-1b-all license:cc-by-nc-4.0 model-index endpoints_compatible region:us
---
language:
- tr
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- a
metrics:
- wer
model-index:
- name: mms tr
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: a
      type: a
      config: default
      split: train
      args: 'config: tr, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 1.0
---

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# mms tr

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the a dataset.
It achieves the following results on the evaluation set:
- Loss: 93.8163
- Wer: 1.0

## 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: 0.001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| No log        | 0.33  | 1    | 169.9452        | 1.0 |
| No log        | 0.67  | 2    | 115.9592        | 1.0 |
| No log        | 1.0   | 3    | 93.8163         | 1.0 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
