metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: data2vec-audio-base-960h-digit-mask-false-positive-cv12-ft
results: []
datasets:
- mazkooleg/digit-mask-false-positive-cv12-raw
data2vec-audio-base-960h-digit-mask-false-positive-cv12-ft
This model is a fine-tuned version of facebook/data2vec-audio-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0101
- Accuracy: 0.9975
- F1: 0.9975
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss |
|---|---|---|---|---|---|
| 0.0211 | 1.0 | 14264 | 0.9972 | 0.9972 | 0.0086 |
| 0.01 | 2.0 | 28528 | 0.9975 | 0.9975 | 0.0101 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3