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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-spanish-small |
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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-spanish-small |
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This model is a fine-tuned version of [jhonparra18/wav2vec2-large-xls-r-300m-spanish-custom](https://huggingface.co/jhonparra18/wav2vec2-large-xls-r-300m-spanish-custom) on the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3596 |
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- Wer: 0.2105 |
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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: 8 |
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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: 16 |
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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: 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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| 0.1971 | 0.79 | 400 | 0.2169 | 0.2077 | |
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| 0.2293 | 1.58 | 800 | 0.2507 | 0.2418 | |
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| 0.2065 | 2.37 | 1200 | 0.2703 | 0.2459 | |
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| 0.1842 | 3.16 | 1600 | 0.2716 | 0.2495 | |
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| 0.1634 | 3.95 | 2000 | 0.2695 | 0.2510 | |
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| 0.1443 | 4.74 | 2400 | 0.2754 | 0.2435 | |
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| 0.1345 | 5.53 | 2800 | 0.3119 | 0.2654 | |
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| 0.1267 | 6.32 | 3200 | 0.3154 | 0.2573 | |
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| 0.1237 | 7.11 | 3600 | 0.3251 | 0.2666 | |
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| 0.1118 | 7.91 | 4000 | 0.3139 | 0.2503 | |
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| 0.1051 | 8.7 | 4400 | 0.3286 | 0.2573 | |
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| 0.0964 | 9.49 | 4800 | 0.3348 | 0.2587 | |
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| 0.0946 | 10.28 | 5200 | 0.3357 | 0.2587 | |
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| 0.0897 | 11.07 | 5600 | 0.3408 | 0.2590 | |
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| 0.0812 | 11.86 | 6000 | 0.3380 | 0.2560 | |
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| 0.079 | 12.65 | 6400 | 0.3304 | 0.2415 | |
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| 0.0753 | 13.44 | 6800 | 0.3557 | 0.2540 | |
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| 0.0717 | 14.23 | 7200 | 0.3507 | 0.2519 | |
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| 0.0691 | 15.02 | 7600 | 0.3554 | 0.2587 | |
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| 0.0626 | 15.81 | 8000 | 0.3619 | 0.2520 | |
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| 0.0661 | 16.6 | 8400 | 0.3609 | 0.2564 | |
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| 0.0582 | 17.39 | 8800 | 0.3818 | 0.2520 | |
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| 0.0556 | 18.18 | 9200 | 0.3685 | 0.2410 | |
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| 0.0515 | 18.97 | 9600 | 0.3658 | 0.2367 | |
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| 0.0478 | 19.76 | 10000 | 0.3701 | 0.2413 | |
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| 0.0486 | 20.55 | 10400 | 0.3681 | 0.2371 | |
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| 0.0468 | 21.34 | 10800 | 0.3607 | 0.2370 | |
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| 0.0452 | 22.13 | 11200 | 0.3499 | 0.2286 | |
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| 0.0399 | 22.92 | 11600 | 0.3647 | 0.2282 | |
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| 0.0393 | 23.72 | 12000 | 0.3638 | 0.2255 | |
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| 0.0381 | 24.51 | 12400 | 0.3359 | 0.2202 | |
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| 0.0332 | 25.3 | 12800 | 0.3488 | 0.2177 | |
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| 0.033 | 26.09 | 13200 | 0.3628 | 0.2175 | |
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| 0.0311 | 26.88 | 13600 | 0.3695 | 0.2195 | |
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| 0.0294 | 27.67 | 14000 | 0.3624 | 0.2164 | |
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| 0.0281 | 28.46 | 14400 | 0.3688 | 0.2113 | |
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| 0.0274 | 29.25 | 14800 | 0.3596 | 0.2105 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.11.0 |
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