metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_mind_model
results: []
my_awesome_mind_model
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: 0.4483
- Accuracy: 0.8462
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: 0.001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| No log | 0.86 | 3 | 0.4483 | 0.8462 |
| No log | 2.0 | 7 | 0.4827 | 0.8462 |
| 0.4433 | 2.86 | 10 | 0.4312 | 0.8462 |
| 0.4433 | 4.0 | 14 | 0.4371 | 0.8462 |
| 0.4433 | 4.86 | 17 | 0.4490 | 0.8462 |
| 0.3769 | 6.0 | 21 | 0.4524 | 0.8462 |
| 0.3769 | 6.86 | 24 | 0.4367 | 0.8462 |
| 0.3769 | 8.0 | 28 | 0.4324 | 0.8462 |
| 0.3639 | 8.57 | 30 | 0.4336 | 0.8462 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1