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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-xls-r-300m |
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tags: |
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- automatic-speech-recognition |
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- JASMIN |
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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-jasmin-nl-vl-dia-read-xls-r-300m |
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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-jasmin-nl-vl-dia-read-xls-r-300m |
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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 JASMIN - NL dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4013 |
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- Wer: 1.0930 |
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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: 0.0003 |
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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: 3 |
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- total_train_batch_size: 192 |
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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: 500 |
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- num_epochs: 15.0 |
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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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| No log | 1.19 | 100 | 4.5749 | 1.0 | |
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| No log | 2.38 | 200 | 3.2544 | 1.0 | |
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| No log | 3.57 | 300 | 3.1107 | 1.0001 | |
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| No log | 4.76 | 400 | 0.9152 | 1.0171 | |
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| 3.9561 | 5.95 | 500 | 0.6422 | 1.0590 | |
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| 3.9561 | 7.14 | 600 | 0.4900 | 1.0867 | |
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| 3.9561 | 8.33 | 700 | 0.4251 | 1.0955 | |
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| 3.9561 | 9.52 | 800 | 0.4232 | 1.1465 | |
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| 3.9561 | 10.71 | 900 | 0.4133 | 1.1194 | |
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| 0.2637 | 11.9 | 1000 | 0.3940 | 1.1307 | |
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| 0.2637 | 13.1 | 1100 | 0.3943 | 1.0964 | |
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| 0.2637 | 14.29 | 1200 | 0.3974 | 1.0894 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.1 |
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- Tokenizers 0.13.3 |
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