gokuls's picture
End of training
9a6b694 verified
metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: wav2vec2-base-finetuned-ic-slurp-no-pretrain
    results: []

wav2vec2-base-finetuned-ic-slurp-no-pretrain

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: 3.1033
  • Accuracy: 0.3082

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: 5e-05
  • train_batch_size: 24
  • eval_batch_size: 24
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 96
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.8949 1.0 527 3.8954 0.0717
3.8006 2.0 1055 3.8025 0.0810
3.7439 3.0 1582 3.7616 0.0821
3.7199 4.0 2110 3.6873 0.0925
3.6145 5.0 2637 3.6367 0.0980
3.542 6.0 3165 3.5391 0.1161
3.3305 7.0 3692 3.3986 0.1528
3.171 8.0 4220 3.2162 0.2022
2.9197 9.0 4747 3.0826 0.2344
2.6468 10.0 5275 2.9709 0.2643
2.4813 11.0 5802 2.9282 0.2880
2.1928 12.0 6330 2.9192 0.2943
1.9368 13.0 6857 2.9719 0.2974
1.693 14.0 7385 3.0304 0.3021
1.3964 15.0 7912 3.1033 0.3082
1.3051 16.0 8440 3.2700 0.2945
1.0794 17.0 8967 3.4284 0.3033
0.9993 18.0 9495 3.5327 0.2998
0.7641 19.0 10022 3.6907 0.2978
0.68 20.0 10550 3.8579 0.2984

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2