metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xls-r-300m-sanitycheck
results: []
wav2vec2-large-xls-r-300m-sanitycheck
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:
- Loss: 0.0092
- Accuracy: 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- 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
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.14 | 8 | 0.8034 | 0.4737 |
| No log | 2.29 | 16 | 0.6803 | 0.5263 |
| No log | 3.43 | 24 | 0.4867 | 1.0 |
| 0.5907 | 4.57 | 32 | 0.1781 | 0.9474 |
| 0.5907 | 5.71 | 40 | 0.2168 | 0.9474 |
| 0.5907 | 6.86 | 48 | 0.2403 | 0.9474 |
| 0.5907 | 8.0 | 56 | 0.0143 | 1.0 |
| 0.0932 | 9.14 | 64 | 0.0124 | 1.0 |
| 0.0932 | 10.29 | 72 | 0.0089 | 1.0 |
| 0.0932 | 11.43 | 80 | 0.0092 | 1.0 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3