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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

{"language": ["tr"], "license": "cc-by-nc-4.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["a"], "metrics": ["wer"], "base_model": "facebook/mms-1b-all", "model-index": [{"name": "mms tr", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "a", "type": "a", "config": "default", "split": "train", "args": "config: tr, split: test"}, "metrics": [{"type": "wer", "value": 1.0, "name": "Wer"}]}]}]}
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