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samitizerxu/wav2vec2-xls-r-300m-es
wav2vec2-xls-r-300m-es is a automatic speech recognition model from samitizerxu. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE - ES dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.1277 | 1.14 | 500 | 2.0259 | 0.9999 |
| 1.4111 | 2.28 | 1000 | 1.1251 | 0.8894 |
| 0.8461 | 3.42 | 1500 | 0.8205 | 0.7244 |
| 0.5042 | 4.57 | 2000 | 0.6116 | 0.5463 |
| 0.3072 | 5.71 | 2500 | 0.5507 | 0.4506 |
| 0.2181 | 6.85 | 3000 | 0.5213 | 0.4177 |
| 0.1608 | 7.99 | 3500 | 0.5161 | 0.4019 |
mozilla-foundation/common_voice_7_0 with split testpython eval.py --model_id samitizerxu/wav2vec2-xls-r-300m-es --dataset mozilla-foundation/common_voice_7_0 --config es --split test
speech-recognition-community-v2/dev_datapython eval.py --model_id samitizerxu/wav2vec2-xls-r-300m-es --dataset speech-recognition-community-v2/dev_data --config es --split validation --chunk_length_s 5.0 --stride_length_s 1.0