Model save
Browse files- README.md +72 -0
- generation_config.json +148 -0
- pytorch_model.bin +1 -1
- runs/Jan13_14-42-30_gpu013/events.out.tfevents.1705153351.gpu013 +2 -2
README.md
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---
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license: apache-2.0
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base_model: openai/whisper-tiny.en
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-tiny.en-atcosim
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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-tiny.en-atcosim
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0737
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- Wer: 2.7135
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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: 128
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- eval_batch_size: 128
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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: 10
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- num_epochs: 100
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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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| 0.4068 | 8.33 | 500 | 0.0639 | 2.4958 |
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| 0.0021 | 16.67 | 1000 | 0.0638 | 2.3245 |
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| 0.0006 | 25.0 | 1500 | 0.0665 | 2.3338 |
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| 0.0003 | 33.33 | 2000 | 0.0680 | 2.2736 |
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| 0.0002 | 41.67 | 2500 | 0.0693 | 2.3893 |
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| 0.0001 | 50.0 | 3000 | 0.0703 | 2.4634 |
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| 0.0001 | 58.33 | 3500 | 0.0713 | 2.4449 |
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| 0.0001 | 66.67 | 4000 | 0.0720 | 2.4542 |
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| 0.0001 | 75.0 | 4500 | 0.0727 | 2.4588 |
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| 0.0001 | 83.33 | 5000 | 0.0732 | 2.6394 |
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| 0.0001 | 91.67 | 5500 | 0.0736 | 2.7783 |
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| 0.0001 | 100.0 | 6000 | 0.0737 | 2.7135 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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}
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pytorch_model.bin
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runs/Jan13_14-42-30_gpu013/events.out.tfevents.1705153351.gpu013
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