DrishtiSharma/wav2vec2-xls-r-300m-rm-sursilv-d11

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - RM-SURSILV dataset. It achieves the following results on the evaluation set:

• Loss: 0.2511
• Wer: 0.2415

Evaluation Commands

1. To evaluate on mozilla-foundation/common_voice_8_0 with test split

python eval.py --model_id DrishtiSharma/wav2vec2-xls-r-300m-rm-sursilv-d11 --dataset mozilla-foundation/common_voice_8_0 --config rm-sursilv --split test --log_outputs

2. To evaluate on speech-recognition-community-v2/dev_data

Romansh-Sursilv language isn't available in speech-recognition-community-v2/dev_data

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 7e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 125.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.3958	17.44	1500	0.6808	0.6521
0.9663	34.88	3000	0.3023	0.3718
0.7963	52.33	4500	0.2588	0.3046
0.6893	69.77	6000	0.2436	0.2718
0.6148	87.21	7500	0.2521	0.2572
0.5556	104.65	9000	0.2490	0.2442
0.5258	122.09	10500	0.2515	0.2442

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.2.dev0
• Tokenizers 0.11.0