metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ASCEND_Dataset_Model
results: []
ASCEND_Dataset_Model
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4625
- Wer: 1.0
- Cer: 1.0
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: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- 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: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
16.8361 | 1.0 | 687 | 4.7397 | 1.0 | 1.0 |
5.0061 | 2.0 | 1374 | 4.6740 | 1.0 | 1.0 |
4.9166 | 3.0 | 2061 | 4.6031 | 1.0 | 1.0 |
4.8689 | 4.0 | 2748 | 4.4977 | 1.0 | 1.0 |
4.7984 | 5.0 | 3435 | 4.4625 | 1.0 | 1.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6