metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exp_1715031832
results: []
exp_1715031832
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4022
- Accuracy: 0.875
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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 60
- 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 |
|---|---|---|---|---|
| 0.6184 | 0.9856 | 41 | 0.6182 | 0.7933 |
| 0.5252 | 1.9952 | 83 | 0.5610 | 0.8157 |
| 0.5533 | 2.9808 | 124 | 0.5669 | 0.8205 |
| 0.5067 | 3.9904 | 166 | 0.5176 | 0.8462 |
| 0.6254 | 5.0 | 208 | 0.4970 | 0.8558 |
| 0.457 | 5.9856 | 249 | 0.4548 | 0.8670 |
| 0.4547 | 6.9952 | 291 | 0.4691 | 0.8574 |
| 0.4161 | 7.9808 | 332 | 0.3973 | 0.8894 |
| 0.3958 | 8.9904 | 374 | 0.3760 | 0.8990 |
| 0.3616 | 9.8558 | 410 | 0.4022 | 0.875 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1