wav2vec2-large-xls-mm-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: inf
• eval_wer: 0.1233
• eval_runtime: 63.2864
• eval_samples_per_second: 31.618
• eval_steps_per_second: 3.966
• epoch: 15.99
• step: 8000

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 25

Framework versions

• Transformers 4.32.1
• Pytorch 2.2.0+cu121
• Datasets 2.12.0
• Tokenizers 0.13.2