Wav2Vec2_SmallDataset

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

• Loss: 0.6162
• Wer: 0.3740

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
3.5616	3.07	500	2.0020	1.0762
0.878	6.13	1000	0.5624	0.5165
0.3494	9.2	1500	0.5125	0.4560
0.214	12.27	2000	0.5534	0.4208
0.1392	15.34	2500	0.5376	0.4031
0.1062	18.4	3000	0.5784	0.3974
0.0816	21.47	3500	0.5700	0.3940
0.0614	24.54	4000	0.6174	0.3821
0.049	27.61	4500	0.6162	0.3740

Framework versions

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