metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base_lr_3e-4
results: []
wav2vec2-base_lr_3e-4
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: 0.0682
- Accuracy: 0.9784
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: 0.0003
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7893 | 0.9851 | 33 | 1.5529 | 0.4602 |
| 0.9637 | 2.0 | 67 | 0.8562 | 0.7563 |
| 0.5758 | 2.9851 | 100 | 0.4980 | 0.8276 |
| 0.5401 | 4.0 | 134 | 0.3442 | 0.8875 |
| 0.3908 | 4.9851 | 167 | 0.4630 | 0.8322 |
| 0.348 | 6.0 | 201 | 0.2102 | 0.9260 |
| 0.309 | 6.9851 | 234 | 0.1996 | 0.9391 |
| 0.305 | 8.0 | 268 | 0.3001 | 0.9185 |
| 0.2311 | 8.9851 | 301 | 0.2150 | 0.9335 |
| 0.2362 | 10.0 | 335 | 0.1218 | 0.9550 |
| 0.1929 | 10.9851 | 368 | 0.1334 | 0.9550 |
| 0.1781 | 12.0 | 402 | 0.1077 | 0.9597 |
| 0.15 | 12.9851 | 435 | 0.0749 | 0.9719 |
| 0.1437 | 14.0 | 469 | 0.0710 | 0.9756 |
| 0.1135 | 14.7761 | 495 | 0.0682 | 0.9784 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1