Wav2Vec2_Finetuned / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Wav2Vec2_Finetuned
    results: []

Wav2Vec2_Finetuned

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9886
  • Accuracy: 0.7247

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.1066 0.9863 54 2.0550 0.3211
1.7945 1.9817 108 1.8463 0.3858
1.5042 2.9772 162 1.6106 0.4911
1.3307 3.9909 217 1.3656 0.6199
1.1295 4.9863 271 1.2506 0.6417
1.0127 5.9817 325 1.2754 0.6211
0.949 6.9772 379 1.0925 0.7041
0.8618 7.9909 434 1.0693 0.7052
0.7838 8.9863 488 1.0308 0.7138
0.7813 9.9452 540 0.9886 0.7247

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3