metadata
base_model: microsoft/unispeech-sat-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: unispeech-sat-base-digit-mask-false-positive-cv12-ft
results: []
datasets:
- mazkooleg/digit-mask-false-positive-cv12-raw
unispeech-sat-base-digit-mask-false-positive-cv12-ft
This model is a fine-tuned version of microsoft/unispeech-sat-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0112
- Accuracy: 0.9979
- F1: 0.9979
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 | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0073 | 1.0000 | 14264 | 0.0112 | 0.9979 | 0.9979 |
| 0.0225 | 2.0000 | 28528 | 0.0139 | 0.9979 | 0.9979 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1