metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_fyp_test13
results: []
my_fyp_test13
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: 2.8594
- Accuracy: 0.17
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 7 | 3.8041 | 0.0638 |
| 3.5516 | 2.0 | 14 | 3.5967 | 0.0625 |
| 3.329 | 3.0 | 21 | 3.4894 | 0.0625 |
| 3.329 | 4.0 | 28 | 3.4042 | 0.07 |
| 2.9364 | 5.0 | 35 | 3.3234 | 0.065 |
| 3.0836 | 6.0 | 42 | 3.2488 | 0.07 |
| 3.0836 | 7.0 | 49 | 3.1819 | 0.07 |
| 2.7451 | 8.0 | 56 | 3.1250 | 0.07 |
| 2.8969 | 9.0 | 63 | 3.0800 | 0.07 |
| 2.6078 | 10.0 | 70 | 3.0414 | 0.07 |
| 2.6078 | 11.0 | 77 | 3.0133 | 0.0838 |
| 2.7883 | 12.0 | 84 | 2.9887 | 0.0963 |
| 2.7495 | 13.0 | 91 | 2.9683 | 0.105 |
| 2.7495 | 14.0 | 98 | 2.9482 | 0.13 |
| 2.4974 | 15.0 | 105 | 2.9343 | 0.1237 |
| 2.6843 | 16.0 | 112 | 2.9164 | 0.135 |
| 2.6843 | 17.0 | 119 | 2.9068 | 0.145 |
| 2.4408 | 18.0 | 126 | 2.8867 | 0.16 |
| 2.6254 | 19.0 | 133 | 2.8676 | 0.1675 |
| 2.4018 | 20.0 | 140 | 2.8673 | 0.1737 |
| 2.4018 | 21.0 | 147 | 2.8651 | 0.1713 |
| 2.5887 | 22.0 | 154 | 2.8591 | 0.1688 |
| 2.5823 | 23.0 | 161 | 2.8593 | 0.1725 |
| 2.5823 | 24.0 | 168 | 2.8578 | 0.1675 |
| 2.3684 | 25.0 | 175 | 2.8593 | 0.1713 |
| 2.571 | 25.8 | 180 | 2.8594 | 0.17 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1