srtx-demo

This model is a fine-tuned version of airesearch/wav2vec2-large-xlsr-53-th on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1418
• Wer: 0.2324
• Cer: 0.0762

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: 32
• eval_batch_size: 16
• 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: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
4.1321	0.9747	1000	0.1418	0.2324	0.0762
0.3512	1.9493	2000	0.1219	0.2229	0.0738
0.303	2.9240	3000	0.1174	0.2258	0.0741
0.2701	3.8986	4000	0.1214	0.2245	0.0740

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1