automatic-speech-recognition sil-ai/bloom-speech generated_from_trainer

wav2vec2-bloom-speech-kjb

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Model description

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the SIL-AI/bloom-speech - KJB (Q’anjob’al) dataset. It achieves the following results on the evaluation set:

Users should refer to the original model for tutorials on using a trained model for inference.

Intended uses & limitations

Users of this model must abide by the SIL RAIL-M License.

This model is created as a proof of concept and no guarantees are made regarding the performance of the model is specific situations.

Training and evaluation data

Training, Validation, and Test datasets were generated from the same corpus, ensuring that no duplicate files were used.

Training procedure

Standard finetuning of XLS-R was used based on the examples in the Hugging Face Transformers Github

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Wer Cer
No log 10.42 250 1.2398 0.9009 0.3685
3.096 20.83 500 0.2915 0.3093 0.0652
3.096 31.25 750 0.2657 0.2282 0.0475
0.1303 41.67 1000 0.2519 0.2222 0.0469
0.1303 52.08 1250 0.2381 0.1982 0.0420
0.0761 62.5 1500 0.3284 0.2553 0.0512
0.0761 72.92 1750 0.2530 0.1952 0.0378
0.0532 83.33 2000 0.3281 0.2042 0.0469
0.0532 93.75 2250 0.2567 0.2102 0.0445
0.0434 104.17 2500 0.3563 0.2312 0.0487
0.0434 114.58 2750 0.2710 0.2312 0.0536

Framework versions