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--- |
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library_name: peft |
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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-large-v3 |
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tags: |
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- wft |
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- whisper |
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- automatic-speech-recognition |
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- audio |
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- speech |
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- generated_from_trainer |
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datasets: |
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- JacobLinCool/ami-disfluent |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-verbatim-1 |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: JacobLinCool/ami-disfluent |
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type: JacobLinCool/ami-disfluent |
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metrics: |
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- type: wer |
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value: 32.322538548713894 |
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name: Wer |
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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-large-v3-verbatim-1 |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the JacobLinCool/ami-disfluent dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1300 |
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- Wer: 32.3225 |
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- Cer: 45.5147 |
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- Decode Runtime: 141.5643 |
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- Wer Runtime: 0.1227 |
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- Cer Runtime: 0.2049 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Decode Runtime | Wer Runtime | Cer Runtime | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:--------------:|:-----------:|:-----------:| |
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| No log | 0 | 0 | 1.8283 | 63.2783 | 251.8035 | 164.5307 | 0.1838 | 0.3386 | |
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| 0.2617 | 0.1 | 100 | 0.2189 | 49.6995 | 178.3721 | 161.1098 | 0.1397 | 0.4071 | |
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| 0.1291 | 0.2 | 200 | 0.1452 | 50.3383 | 95.5275 | 143.0863 | 0.1342 | 0.2932 | |
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| 0.1418 | 0.3 | 300 | 0.1387 | 29.9186 | 74.6491 | 150.1053 | 0.0780 | 0.1514 | |
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| 0.1273 | 1.088 | 400 | 0.1372 | 30.8218 | 91.1134 | 166.0178 | 0.1252 | 0.2728 | |
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| 0.1139 | 1.188 | 500 | 0.1335 | 29.9117 | 101.9003 | 144.2796 | 0.1318 | 0.2934 | |
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| 0.1663 | 1.288 | 600 | 0.1306 | 31.8418 | 83.0183 | 149.9060 | 0.0826 | 0.1679 | |
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| 0.1275 | 2.076 | 700 | 0.1311 | 24.9665 | 29.6191 | 143.2151 | 0.0781 | 0.1135 | |
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| 0.1077 | 2.176 | 800 | 0.1304 | 25.9109 | 36.6217 | 143.4620 | 0.0770 | 0.1227 | |
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| 0.1711 | 2.276 | 900 | 0.1298 | 35.1729 | 45.0300 | 145.3294 | 0.0786 | 0.1310 | |
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| 0.0994 | 3.064 | 1000 | 0.1300 | 32.3225 | 45.5147 | 141.5643 | 0.1227 | 0.2049 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.0 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
