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--- |
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library_name: transformers |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- generated_from_trainer |
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datasets: |
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- fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-turbo-greek-greece |
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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: fleurs |
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type: fleurs |
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config: el_gr |
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split: None |
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args: el_gr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 11.059118170434324 |
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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-turbo-greek-greece |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3006 |
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- Model Preparation Time: 0.0067 |
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- Wer Ortho: 26.8701 |
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- Wer: 11.0591 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- optimizer: Use 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_ratio: 0.06 |
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- num_epochs: 1 |
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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 | Model Preparation Time | Wer Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------:|:-------:| |
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| 0.6129 | 0.0204 | 32 | 0.2996 | 0.0067 | 29.5644 | 14.1172 | |
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| 0.5021 | 0.0408 | 64 | 0.3064 | 0.0067 | 29.0414 | 14.0381 | |
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| 0.5068 | 0.0612 | 96 | 0.3116 | 0.0067 | 29.3261 | 14.2226 | |
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| 0.5049 | 0.0816 | 128 | 0.3000 | 0.0067 | 28.5317 | 13.8404 | |
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| 0.5289 | 0.1020 | 160 | 0.3261 | 0.0067 | 29.5048 | 14.3413 | |
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| 0.4464 | 0.1224 | 192 | 0.3336 | 0.0067 | 29.5115 | 14.2292 | |
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| 0.4324 | 0.1428 | 224 | 0.3267 | 0.0067 | 28.9157 | 13.8865 | |
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| 0.4376 | 0.1632 | 256 | 0.3319 | 0.0067 | 29.8292 | 14.7367 | |
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| 0.4623 | 0.1836 | 288 | 0.3493 | 0.0067 | 29.5379 | 14.2424 | |
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| 0.4494 | 0.2040 | 320 | 0.3210 | 0.0067 | 28.9620 | 13.7415 | |
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| 0.4541 | 0.2244 | 352 | 0.3284 | 0.0067 | 29.0348 | 13.7349 | |
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| 0.4262 | 0.2448 | 384 | 0.3169 | 0.0067 | 28.7369 | 13.2077 | |
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| 0.4365 | 0.2652 | 416 | 0.3131 | 0.0067 | 28.7369 | 13.1484 | |
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| 0.4701 | 0.2856 | 448 | 0.3144 | 0.0067 | 28.5118 | 13.0759 | |
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| 0.4256 | 0.3060 | 480 | 0.3017 | 0.0067 | 28.4126 | 13.2868 | |
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| 0.4437 | 0.3264 | 512 | 0.3080 | 0.0067 | 28.6111 | 13.3724 | |
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| 0.4147 | 0.3468 | 544 | 0.3141 | 0.0067 | 28.1875 | 12.4629 | |
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| 0.4089 | 0.3672 | 576 | 0.3150 | 0.0067 | 28.2669 | 12.9638 | |
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| 0.4448 | 0.3876 | 608 | 0.3221 | 0.0067 | 28.5979 | 12.8913 | |
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| 0.4354 | 0.4080 | 640 | 0.3091 | 0.0067 | 28.1875 | 12.7859 | |
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| 0.3877 | 0.4284 | 672 | 0.3174 | 0.0067 | 28.0816 | 12.5816 | |
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| 0.4411 | 0.4488 | 704 | 0.3130 | 0.0067 | 28.4788 | 13.0693 | |
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| 0.4056 | 0.4692 | 736 | 0.3168 | 0.0067 | 28.3000 | 12.4366 | |
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| 0.4043 | 0.4896 | 768 | 0.3291 | 0.0067 | 28.1213 | 12.4695 | |
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| 0.4265 | 0.5100 | 800 | 0.3230 | 0.0067 | 27.8565 | 12.0082 | |
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| 0.4075 | 0.5304 | 832 | 0.3062 | 0.0067 | 27.4990 | 12.1400 | |
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| 0.4075 | 0.5508 | 864 | 0.3137 | 0.0067 | 27.6711 | 12.0675 | |
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| 0.4312 | 0.5712 | 896 | 0.3086 | 0.0067 | 27.6777 | 11.8302 | |
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| 0.4294 | 0.5916 | 928 | 0.3034 | 0.0067 | 27.4262 | 12.1202 | |
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| 0.4268 | 0.6120 | 960 | 0.3126 | 0.0067 | 27.9558 | 12.3707 | |
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| 0.4385 | 0.6325 | 992 | 0.3156 | 0.0067 | 28.0087 | 12.3113 | |
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| 0.3886 | 0.6529 | 1024 | 0.3043 | 0.0067 | 27.6115 | 11.8566 | |
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| 0.3761 | 0.6733 | 1056 | 0.3076 | 0.0067 | 27.2541 | 11.8434 | |
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| 0.4109 | 0.6937 | 1088 | 0.3125 | 0.0067 | 27.4924 | 12.0214 | |
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| 0.4231 | 0.7141 | 1120 | 0.3025 | 0.0067 | 27.3070 | 11.8368 | |
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| 0.4126 | 0.7345 | 1152 | 0.3058 | 0.0067 | 27.3070 | 11.7577 | |
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| 0.3999 | 0.7549 | 1184 | 0.3056 | 0.0067 | 26.9694 | 11.4677 | |
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| 0.4354 | 0.7753 | 1216 | 0.3031 | 0.0067 | 27.4725 | 11.6589 | |
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| 0.4036 | 0.7957 | 1248 | 0.2979 | 0.0067 | 27.2210 | 11.4611 | |
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| 0.3972 | 0.8161 | 1280 | 0.3043 | 0.0067 | 27.3467 | 11.4348 | |
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| 0.3478 | 0.8365 | 1312 | 0.3055 | 0.0067 | 27.4063 | 11.5139 | |
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| 0.3915 | 0.8569 | 1344 | 0.3015 | 0.0067 | 27.1813 | 11.4743 | |
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| 0.4092 | 0.8773 | 1376 | 0.2999 | 0.0067 | 27.0356 | 11.3952 | |
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| 0.4042 | 0.8977 | 1408 | 0.2974 | 0.0067 | 27.0025 | 11.3227 | |
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| 0.4332 | 0.9181 | 1440 | 0.3026 | 0.0067 | 27.2739 | 11.4282 | |
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| 0.4164 | 0.9385 | 1472 | 0.2996 | 0.0067 | 27.0158 | 11.1777 | |
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| 0.3774 | 0.9589 | 1504 | 0.3009 | 0.0067 | 27.0820 | 11.0987 | |
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| 0.3934 | 0.9793 | 1536 | 0.3006 | 0.0067 | 26.8701 | 11.0591 | |
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| 0.3695 | 0.9997 | 1568 | 0.3020 | 0.0067 | 26.9032 | 11.0921 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.5.1 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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