End of training
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- generation_config.json +2 -10
README.md
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---
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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metrics:
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- wer
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model-index:
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- name: whisper-finetuned-bial2
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results: []
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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-finetuned-bial2
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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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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: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2
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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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- 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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| 0.1196 | 2.9992 | 5541 | 3.0133 | 0.3644 |
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### Framework versions
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---
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language:
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- en
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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metrics:
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- wer
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model-index:
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- name: bhattasp/whisper-finetuned-bial2
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results: []
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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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# bhattasp/whisper-finetuned-bial2
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the bial2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3088
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- Wer: 29.3953
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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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- training_steps: 2000
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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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| 0.1482 | 4.3290 | 1000 | 0.3253 | 31.3301 |
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| 0.0563 | 8.6580 | 2000 | 0.3088 | 29.3953 |
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### Framework versions
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generation_config.json
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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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"forced_decoder_ids": [
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[
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],
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[
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2,
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50359
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]
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],
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"is_multilingual": true,
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"lang_to_id": {
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"<|af|>": 50327,
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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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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50361,
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50362
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],
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"task_to_id": {
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"transcribe": 50359,
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"translate": 50358
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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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"is_multilingual": true,
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"lang_to_id": {
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"<|af|>": 50327,
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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"language": "english",
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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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50361,
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50362
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],
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"task": "transcribe",
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"task_to_id": {
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"transcribe": 50359,
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"translate": 50358
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