asr-africa/bambara-1-hours-bambara-asr-hf-plus-lm

bambara-1-hours-bambara-asr-hf

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

• Loss: 1.7420
• Wer: 0.6528
• Cer: 0.2937

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0003
• train_batch_size: 16
• eval_batch_size: 16
• 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: 500
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.1128	5.71	200	1.1737	0.7170	0.3240
0.9466	11.43	400	1.3777	0.6729	0.3018
0.7191	17.14	600	1.5054	0.6833	0.3096
0.624	22.86	800	1.6121	0.6704	0.3018
0.4667	28.57	1000	1.7420	0.6528	0.2937

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu118
• Datasets 2.17.0
• Tokenizers 0.15.2