metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cvbn
model-index:
- name: wav2vec2-base-cvbn-37knew
results: []
wav2vec2-base-cvbn-37knew
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the cvbn dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2208
- eval_wer: 0.2889
- eval_runtime: 336.8019
- eval_samples_per_second: 8.907
- eval_steps_per_second: 0.558
- epoch: 4.11
- step: 9600
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: 7.5e-05
- train_batch_size: 16
- 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: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.21.1
- Pytorch 1.11.0+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1