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# asr-amharic-phoneme-based-233

This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-233](https://huggingface.co/Samuael/asr-amharic-phoneme-based-233) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3778
- eval_wer: 0.2679
- eval_cer: 0.0730
- eval_runtime: 26.7915
- eval_samples_per_second: 13.4
- eval_steps_per_second: 1.68
- epoch: 3.01
- step: 2400

## 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: 4e-06
- train_batch_size: 32
- 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: 100
- num_epochs: 10

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Samuael/asr-amharic-phoneme-based-233", "model-index": [{"name": "asr-amharic-phoneme-based-233", "results": []}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:Samuael/asr-amharic-phoneme-based-233 license:apache-2.0 endpoints_compatible region:us