aherzberg's picture
update model card README.md
0e3cc5f
metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: wav2vec2-base-POSITIVE_NEGATIVE_ONLY_BALANCED_CLASSES
    results: []

wav2vec2-base-POSITIVE_NEGATIVE_ONLY_BALANCED_CLASSES

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: 0.3710
  • Accuracy: 0.8822

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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • 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
0.7822 0.96 18 0.6874 0.7424
0.5685 1.96 36 0.5974 0.7845
0.45 2.96 54 0.4988 0.8182
0.399 3.96 72 0.4583 0.8384
0.3457 4.96 90 0.4415 0.8451
0.352 5.96 108 0.3710 0.8822
0.2878 6.96 126 0.3881 0.8620
0.2669 7.96 144 0.4309 0.8502
0.2406 8.96 162 0.4271 0.8502
0.2491 9.96 180 0.4271 0.8502

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.11.0
  • Datasets 1.14.0
  • Tokenizers 0.10.3