metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-POSITIVE_NEGATIVE_ONLY_BALANCED_CLASSES
results: []
wav2vec2-base-POSITIVE_NEGATIVE_ONLY_BALANCED_CLASSES
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: 0.3710
- Accuracy: 0.8822
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: 3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7822 | 0.96 | 18 | 0.6874 | 0.7424 |
| 0.5685 | 1.96 | 36 | 0.5974 | 0.7845 |
| 0.45 | 2.96 | 54 | 0.4988 | 0.8182 |
| 0.399 | 3.96 | 72 | 0.4583 | 0.8384 |
| 0.3457 | 4.96 | 90 | 0.4415 | 0.8451 |
| 0.352 | 5.96 | 108 | 0.3710 | 0.8822 |
| 0.2878 | 6.96 | 126 | 0.3881 | 0.8620 |
| 0.2669 | 7.96 | 144 | 0.4309 | 0.8502 |
| 0.2406 | 8.96 | 162 | 0.4271 | 0.8502 |
| 0.2491 | 9.96 | 180 | 0.4271 | 0.8502 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.11.0
- Datasets 1.14.0
- Tokenizers 0.10.3