End of training
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- pytorch_model.bin +1 -1
README.md
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- generated_from_trainer
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datasets:
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- PolyAI/minds14
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model-index:
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- name: whisper-tiny-dv
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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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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_runtime: 28.4463
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- eval_samples_per_second: 3.972
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- eval_steps_per_second: 0.281
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- epoch: 2.0
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- step: 56
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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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### Framework versions
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- generated_from_trainer
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datasets:
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- PolyAI/minds14
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metrics:
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- wer
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model-index:
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- name: whisper-tiny-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: 0.3520671834625323
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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: 0.6490
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- Wer Ortho: 0.3567
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- Wer: 0.3521
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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: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|
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| 0.022 | 1.0 | 28 | 0.5935 | 0.3605 | 0.3661 |
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| 0.0158 | 2.0 | 56 | 0.6233 | 0.3463 | 0.3499 |
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| 0.0067 | 3.0 | 84 | 0.6469 | 0.3546 | 0.3521 |
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| 0.0066 | 3.57 | 100 | 0.6490 | 0.3567 | 0.3521 |
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### Framework versions
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pytorch_model.bin
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size 151099049
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