wav2vec2-xls-r-300m-fr-10m

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: 1.2445
• Wer: 0.6226
• Cer: 0.2172

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
2.9004	62.5	500	2.9525	0.9889	0.9581
2.5985	125.0	1000	2.5163	0.9837	0.7522
1.305	187.5	1500	1.2992	0.8302	0.3101
0.7531	250.0	2000	1.1462	0.6998	0.2470
0.5517	312.5	2500	1.1412	0.6647	0.2289
0.3966	375.0	3000	1.1778	0.6312	0.2169
0.3553	437.5	3500	1.2457	0.6312	0.2179
0.2871	500.0	4000	1.2445	0.6226	0.2172

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1