End of training
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- generation_config.json +7 -1
README.md
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---
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license: apache-2.0
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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: whisper-
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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: minds14
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type: PolyAI/minds14
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config: en-US
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split: train
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args: en-US
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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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pipeline_tag: automatic-speech-recognition
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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It achieves the following results on the evaluation set:
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- eval_samples_per_second: 1.825
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- eval_steps_per_second: 0.129
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- epoch: 17.24
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- step: 500
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps:
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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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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- 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: whisper-small-dv
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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: PolyAI/minds14
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type: PolyAI/minds14
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config: en-US
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split: train
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args: en-US
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metrics:
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- name: Wer
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type: wer
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value: 27.390791027154666
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5904
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- Wer Ortho: 26.7119
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- Wer: 27.3908
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps: 500
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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 Ortho | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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| 0.0002 | 17.24 | 500 | 0.5904 | 26.7119 | 27.3908 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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generation_config.json
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"forced_decoder_ids": [
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[
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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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"<|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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"forced_decoder_ids": [
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[
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1,
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50259
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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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3,
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]
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],
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"is_multilingual": true,
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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"language": "en",
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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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