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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-slowenian-with-lm |
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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-large-xls-r-300m-slowenian-with-lm |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3935 |
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- Wer: 0.3480 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 50 |
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- num_epochs: 30 |
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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 | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 7.9937 | 2.5 | 100 | 3.1565 | 1.0 | |
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| 3.0466 | 5.0 | 200 | 3.0009 | 0.9992 | |
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| 2.9708 | 7.5 | 300 | 2.9494 | 0.9992 | |
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| 2.0519 | 10.0 | 400 | 0.8874 | 0.7290 | |
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| 0.5773 | 12.5 | 500 | 0.5258 | 0.5037 | |
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| 0.3427 | 15.0 | 600 | 0.4767 | 0.4649 | |
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| 0.2612 | 17.5 | 700 | 0.4549 | 0.4209 | |
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| 0.212 | 20.0 | 800 | 0.4294 | 0.3860 | |
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| 0.1748 | 22.5 | 900 | 0.4085 | 0.3769 | |
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| 0.1587 | 25.0 | 1000 | 0.4017 | 0.3673 | |
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| 0.1435 | 27.5 | 1100 | 0.3927 | 0.3538 | |
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| 0.1314 | 30.0 | 1200 | 0.3935 | 0.3480 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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