End of training
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- generation_config.json +1 -1
README.md
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---
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language:
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- wer
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model-index:
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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:
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type:
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config:
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split: None
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args: 'config: hi, split: test'
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metrics:
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- name: Wer
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type: wer
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value:
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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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# Whisper Small Hi - Sanchit Gandhi
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer:
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## Model description
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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:
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- eval_batch_size:
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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: 5
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- training_steps:
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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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| 0.4426 | 0.02 | 20 | 0.5549 | 56.3616 |
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### Framework versions
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---
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language:
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- vi
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- vivos
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metrics:
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- wer
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model-index:
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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: '##'
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type: vivos
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args: 'config: vi, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 97.2027972027972
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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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# Whisper Small Hi - Sanchit Gandhi
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ## dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3333
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- Wer: 97.2028
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## Model description
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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: 2
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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: 5
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- training_steps: 10
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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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| 1.6611 | 0.01 | 10 | 1.3333 | 97.2028 |
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### Framework versions
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generation_config.json
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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"language": "
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"max_initial_timestamp_index": 50,
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"max_length": 448,
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"no_timestamps_token_id": 50363,
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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"language": "vietnamese",
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"max_initial_timestamp_index": 50,
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"max_length": 448,
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"no_timestamps_token_id": 50363,
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