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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large |
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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: wav2vec2-large-sw-cv-100hr-v5 |
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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-sw-cv-100hr-v5 |
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This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8148 |
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- Model Preparation Time: 0.0038 |
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- Wer: 0.5557 |
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- Cer: 0.2034 |
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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: 0.0007 |
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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_ratio: 0.033 |
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- num_epochs: 100 |
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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 | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:------:|:------:| |
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| 1.5047 | 1.0 | 1040 | 0.5420 | 0.0038 | 0.5182 | 0.1481 | |
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| 0.4317 | 2.0 | 2080 | 0.6919 | 0.0038 | 0.6485 | 0.2046 | |
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| 1.7978 | 3.0 | 3120 | 2.9072 | 0.0038 | 1.0 | 1.0 | |
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| 2.8626 | 4.0 | 4160 | 2.8802 | 0.0038 | 1.0 | 1.0 | |
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| 2.8609 | 5.0 | 5200 | 2.8577 | 0.0038 | 1.0 | 1.0 | |
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| 2.861 | 6.0 | 6240 | 2.8602 | 0.0038 | 1.0 | 1.0 | |
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| 2.8602 | 7.0 | 7280 | 2.8747 | 0.0038 | 1.0 | 1.0 | |
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| 2.8603 | 8.0 | 8320 | 2.8618 | 0.0038 | 1.0 | 1.0 | |
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| 2.8597 | 9.0 | 9360 | 2.8668 | 0.0038 | 1.0 | 1.0 | |
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| 2.8598 | 10.0 | 10400 | 2.8657 | 0.0038 | 1.0 | 1.0 | |
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| 2.8598 | 11.0 | 11440 | 2.8603 | 0.0038 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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