TrainEsperanto

This model is a fine-tuned version of cpierse/wav2vec2-large-xlsr-53-esperanto on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0591
• Wer: 0.1884

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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.9902	2.6596	500	8.6294	1.0309
3.3	5.3191	1000	2.9688	1.0
2.8744	7.9787	1500	2.4117	1.0
0.7214	10.6383	2000	0.1825	0.2954
0.1552	13.2979	2500	0.0689	0.1971
0.1038	15.9574	3000	0.0621	0.1932
0.092	18.6170	3500	0.0624	0.1900
0.0877	21.2766	4000	0.0615	0.1926
0.082	23.9362	4500	0.0609	0.1899
0.0779	26.5957	5000	0.0591	0.1887
0.077	29.2553	5500	0.0591	0.1884

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1
• Datasets 2.19.1
• Tokenizers 0.20.1