End of training
Browse files- README.md +67 -0
- generation_config.json +34 -0
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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language:
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- hi
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license: apache-2.0
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base_model: openai/whisper-base
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: Whisper base Hi - Sanchit Gandhi
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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 base Hi - Sanchit Gandhi
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1381
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- Cer: 8.5165
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 4000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.3106 | 0.87 | 1000 | 0.3352 | 16.9784 |
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| 0.1609 | 1.74 | 2000 | 0.1887 | 10.5303 |
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| 0.0889 | 2.6 | 3000 | 0.1510 | 9.2926 |
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| 0.0596 | 3.47 | 4000 | 0.1381 | 8.5165 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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generation_config.json
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"begin_suppress_tokens": [
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"alignment_heads": [
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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training_args.bin
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