ckpts / README.md
Gizachew's picture
End of training
016fb89 verified
|
raw
history blame
1.6 kB
metadata
license: apache-2.0
base_model: harshit345/xlsr-wav2vec-speech-emotion-recognition
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ckpts
    results: []

ckpts

This model is a fine-tuned version of harshit345/xlsr-wav2vec-speech-emotion-recognition on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2342
  • Accuracy: 0.9333

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4039 2.02 500 0.3198 0.8949
0.2195 4.04 1000 0.2363 0.9333

Framework versions

  • Transformers 4.40.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.18.1.dev0
  • Tokenizers 0.15.2