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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-960h-finetuned-ks |
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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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# wav2vec2-base-960h-finetuned-ks |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6449 |
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- Accuracy: 0.1069 |
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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: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 1024 |
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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_ratio: 0.2 |
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- lr_scheduler_warmup_steps: 10 |
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- training_steps: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 1 | 2.6379 | 0.0840 | |
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| 1.3193 | 2.0 | 3 | 2.6377 | 0.0840 | |
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| 1.1536 | 3.0 | 4 | 2.6374 | 0.0763 | |
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| 0.8255 | 4.0 | 6 | 2.6377 | 0.0763 | |
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| 0.8247 | 5.0 | 8 | 2.6390 | 0.0763 | |
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| 0.8247 | 6.0 | 9 | 2.6387 | 0.0840 | |
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| 1.1536 | 7.0 | 11 | 2.6415 | 0.0992 | |
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| 1.3183 | 8.0 | 12 | 2.6408 | 0.0916 | |
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| 1.3183 | 9.0 | 13 | 2.6402 | 0.0992 | |
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| 1.3176 | 10.0 | 15 | 2.6414 | 0.0992 | |
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| 1.1517 | 11.0 | 16 | 2.6419 | 0.0992 | |
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| 0.823 | 12.0 | 18 | 2.6426 | 0.0992 | |
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| 0.8222 | 13.0 | 20 | 2.6449 | 0.1069 | |
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| 0.8222 | 14.0 | 21 | 2.6467 | 0.0992 | |
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| 1.1534 | 15.0 | 23 | 2.6469 | 0.0916 | |
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| 1.3186 | 16.0 | 24 | 2.6464 | 0.0840 | |
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| 1.3186 | 17.0 | 25 | 2.6460 | 0.0840 | |
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| 1.3143 | 18.0 | 27 | 2.6454 | 0.0916 | |
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| 1.1482 | 19.0 | 28 | 2.6450 | 0.0840 | |
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| 0.8229 | 20.0 | 30 | 2.6450 | 0.0840 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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