XLRS_SmallDataset

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3587
• Wer: 0.3136

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6082	3.07	500	3.0595	1.0
2.3947	6.13	1000	0.7424	0.7619
0.6691	9.2	1500	0.4007	0.4376
0.3661	12.27	2000	0.3424	0.3668
0.2503	15.34	2500	0.3519	0.3426
0.2066	18.4	3000	0.3522	0.3247
0.167	21.47	3500	0.3465	0.3235
0.1418	24.54	4000	0.3687	0.3143
0.1409	27.61	4500	0.3587	0.3136

Framework versions

• Transformers 4.17.0
• Pytorch 2.5.1+cu121
• Datasets 1.18.3
• Tokenizers 0.20.3