metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- minds14
metrics:
- accuracy
model-index:
- name: my_awesome_lang_class_mind_model
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: minds14
type: minds14
config: all
split: train
args: all
metrics:
- name: Accuracy
type: accuracy
value: 0.21236230110159118
my_awesome_lang_class_mind_model
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: 2.3072
- Accuracy: 0.2124
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 |
|---|---|---|---|---|
| 2.597 | 1.0 | 51 | 2.5777 | 0.1481 |
| 2.4608 | 1.99 | 102 | 2.4484 | 0.1567 |
| 2.4352 | 2.99 | 153 | 2.4153 | 0.1548 |
| 2.3965 | 4.0 | 205 | 2.3796 | 0.1897 |
| 2.363 | 5.0 | 256 | 2.3622 | 0.1922 |
| 2.3369 | 5.99 | 307 | 2.3496 | 0.1854 |
| 2.292 | 6.99 | 358 | 2.3286 | 0.2038 |
| 2.2788 | 8.0 | 410 | 2.3170 | 0.2075 |
| 2.2537 | 9.0 | 461 | 2.3090 | 0.2044 |
| 2.241 | 9.95 | 510 | 2.3072 | 0.2124 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0