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whisper-a-clp-ls-35

Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
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metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-a-clp-ls-35
    results: []

whisper-a-clp-ls-35

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0283
  • Wer: 7.3375

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: 0.0004
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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_steps: 132
  • num_epochs: 35
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 1.0 40 0.1519 181.5514
No log 2.0 80 0.1651 50.5241
1.2204 3.0 120 0.3615 112.1593
1.2204 4.0 160 0.3251 62.8931
0.1484 5.0 200 0.2501 50.3145
0.1484 6.0 240 0.1648 61.2159
0.1484 7.0 280 0.1351 30.8176
0.0823 8.0 320 0.0712 30.1887
0.0823 9.0 360 0.1608 57.0231
0.0528 10.0 400 0.0652 21.5933
0.0528 11.0 440 0.0569 19.9161
0.0528 12.0 480 0.0706 22.6415
0.0436 13.0 520 0.0498 14.6751
0.0436 14.0 560 0.0493 22.4319
0.0374 15.0 600 0.0946 28.0922
0.0374 16.0 640 0.0930 29.5597
0.0374 17.0 680 0.0532 24.3187
0.0249 18.0 720 0.0639 22.2222
0.0249 19.0 760 0.0355 11.3208
0.0151 20.0 800 0.0608 14.2558
0.0151 21.0 840 0.0612 15.7233
0.0151 22.0 880 0.0632 13.8365
0.0124 23.0 920 0.0436 15.3040
0.0124 24.0 960 0.0415 14.4654
0.0084 25.0 1000 0.0474 17.6101
0.0084 26.0 1040 0.0284 10.2725
0.0084 27.0 1080 0.0291 7.9665
0.0058 28.0 1120 0.0275 7.9665
0.0058 29.0 1160 0.0302 7.9665
0.005 30.0 1200 0.0278 7.9665
0.005 31.0 1240 0.0277 8.1761
0.005 32.0 1280 0.0289 8.1761
0.0035 33.0 1320 0.0284 7.3375
0.0035 34.0 1360 0.0283 7.3375
0.0035 34.1266 1365 0.0283 7.3375

Framework versions

  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0