wav2vec2-finetuned-mrt

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: 45.0632

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
63.4977	2.3810	100	55.7428
55.4934	4.7619	200	52.5311
53.5505	7.1429	300	51.9070
48.0679	9.5238	400	45.4772
48.0679	10.0	420	45.0632

Framework versions

• Transformers 5.14.1
• Pytorch 2.13.0
• Datasets 5.0.0
• Tokenizers 0.22.2