End of training
Browse files- README.md +6 -6
- generation_config.json +1 -0
- model.safetensors +1 -1
- runs/Apr14_18-10-54_relela-01/events.out.tfevents.1713132654.relela-01 +3 -0
- runs/Apr14_18-30-52_relela-01/events.out.tfevents.1713133853.relela-01 +3 -0
- runs/Apr14_19-48-35_relela-01/events.out.tfevents.1713138516.relela-01 +3 -0
- runs/Apr14_20-11-23_relela-01/events.out.tfevents.1713139884.relela-01 +3 -0
- runs/Apr14_20-23-47_relela-01/events.out.tfevents.1713140628.relela-01 +3 -0
- runs/Apr14_20-38-30_relela-01/events.out.tfevents.1713141512.relela-01 +3 -0
- runs/Apr14_20-40-33_relela-01/events.out.tfevents.1713141635.relela-01 +3 -0
- runs/Apr14_20-41-49_relela-01/events.out.tfevents.1713141711.relela-01 +3 -0
- runs/Apr14_20-44-42_relela-01/events.out.tfevents.1713141884.relela-01 +3 -0
- runs/Apr14_20-46-04_relela-01/events.out.tfevents.1713141966.relela-01 +3 -0
- runs/Apr14_20-49-59_relela-01/events.out.tfevents.1713142201.relela-01 +3 -0
- training_args.bin +1 -1
README.md
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tags:
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- generated_from_trainer
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datasets:
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-
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model-index:
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- name: Whisper Chilean Spanish Small
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results: []
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# Whisper Chilean Spanish Small
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the
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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:
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- num_epochs:
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### Training results
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tags:
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- generated_from_trainer
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datasets:
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- stinoco/es_clinical_assistance
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model-index:
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- name: Whisper Chilean Spanish Small
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results: []
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# Whisper Chilean Spanish Small
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the stinoco/es_clinical_assistance dataset.
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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: 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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- num_epochs: 10
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### Training results
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generation_config.json
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"<|yo|>": 50325,
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"max_initial_timestamp_index": 50,
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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"language": "es",
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"max_initial_timestamp_index": 50,
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model.safetensors
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