Commit
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End of training
Browse files- README.md +79 -0
- generation_config.json +15 -0
README.md
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---
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language:
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- so
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license: apache-2.0
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base_model: steja/whisper-small-somali
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tags:
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- generated_from_trainer
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datasets:
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- google/fleurs
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metrics:
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- wer
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model-index:
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- name: Whisper Small So - kheder yusuf
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: google/fleurs
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type: google/fleurs
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config: so_so
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split: None
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args: 'config: so_so, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 21.001297668382936
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Small So - kheder yusuf
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This model is a fine-tuned version of [steja/whisper-small-somali](https://huggingface.co/steja/whisper-small-somali) on the google/fleurs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2840
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- Wer: 21.0013
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.257 | 3.47 | 1000 | 0.2840 | 21.0013 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"begin_suppress_tokens": [
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220,
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50257
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],
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"bos_token_id": 50257,
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"decoder_start_token_id": 50258,
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"eos_token_id": 50257,
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"language": "somali",
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"max_length": 448,
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"pad_token_id": 50257,
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"task": "transcribe",
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"transformers_version": "4.37.2",
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"use_cache": false
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}
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