metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2_capstone
results: []
datasets:
- mozilla-foundation/common_voice_16_1
language:
- en
- ca
- rw
- be
- eo
- de
- fr
- ka
- es
- lg
- sw
- fa
- it
- mh
- zh
- ba
- ta
- ru
- eu
- th
- pt
- pl
- ja
pipeline_tag: audio-classification
WAV2VEC2_CAPSTONE_MODEL2
This model is a fine-tuned version of facebook/wav2vec2-base on a subset of the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3952
- Accuracy: 0.9098
- F1 score: 0.9097
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: 7
- eval_batch_size: 7
- seed: 42
- gradient_accumulation_steps: 11
- total_train_batch_size: 77
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 score |
---|---|---|---|---|---|
1.5222 | 1.0 | 513 | 1.4214 | 0.5477 | 0.5374 |
0.9554 | 2.0 | 1027 | 1.0182 | 0.6892 | 0.6826 |
0.6128 | 3.0 | 1541 | 0.6117 | 0.8205 | 0.8203 |
0.4882 | 4.0 | 2055 | 0.5092 | 0.8474 | 0.8478 |
0.2305 | 5.0 | 2569 | 0.5244 | 0.8643 | 0.8639 |
0.1219 | 6.0 | 3082 | 0.4169 | 0.8966 | 0.8966 |
0.0672 | 6.99 | 3591 | 0.3952 | 0.9098 | 0.9097 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0