DrishtiSharma/wav2vec2-large-xls-r-300m-kk-with-LM

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

• Loss: 0.7149
• Wer: 0.451

Evaluation Commands

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

python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-kk-with-LM --dataset mozilla-foundation/common_voice_8_0 --config kk --split test --log_outputs

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

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

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.000222
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 150.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
9.6799	9.09	200	3.6119	1.0
3.1332	18.18	400	2.5352	1.005
1.0465	27.27	600	0.6169	0.682
0.3452	36.36	800	0.6572	0.607
0.2575	45.44	1000	0.6527	0.578
0.2088	54.53	1200	0.6828	0.551
0.158	63.62	1400	0.7074	0.5575
0.1309	72.71	1600	0.6523	0.5595
0.1074	81.8	1800	0.7262	0.5415
0.087	90.89	2000	0.7199	0.521
0.0711	99.98	2200	0.7113	0.523
0.0601	109.09	2400	0.6863	0.496
0.0451	118.18	2600	0.6998	0.483
0.0378	127.27	2800	0.6971	0.4615
0.0319	136.36	3000	0.7119	0.4475
0.0305	145.44	3200	0.7181	0.459

Framework versions

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

Evaluation Command

!python eval.py
--model_id DrishtiSharma/wav2vec2-xls-r-300m-kk-n2
--dataset mozilla-foundation/common_voice_8_0 --config kk --split test --log_outputs