metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- minds14
metrics:
- accuracy
model-index:
- name: my_awesome_mind
results: []
my_awesome_mind
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 2.6490
- Accuracy: 0.0265
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: 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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.8 | 3 | 2.6487 | 0.0619 |
No log | 1.8 | 6 | 2.6490 | 0.0531 |
No log | 2.8 | 9 | 2.6489 | 0.0619 |
3.2244 | 3.8 | 12 | 2.6497 | 0.0442 |
3.2244 | 4.8 | 15 | 2.6498 | 0.0442 |
3.2244 | 5.8 | 18 | 2.6488 | 0.0265 |
3.227 | 6.8 | 21 | 2.6491 | 0.0265 |
3.227 | 7.8 | 24 | 2.6493 | 0.0265 |
3.227 | 8.8 | 27 | 2.6490 | 0.0265 |
3.2283 | 9.8 | 30 | 2.6490 | 0.0265 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.13.1
- Datasets 2.15.0
- Tokenizers 0.10.3