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wav2vec2-base-ft-keyword-spotting

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
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Zheng Li commited on
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  1. README.md +14 -17
  2. model.safetensors +1 -1
  3. runs/May15_02-50-35_cs-Precision-7960-Tower/events.out.tfevents.1747291839.cs-Precision-7960-Tower.145708.0 +2 -2
README.md CHANGED
@@ -3,7 +3,6 @@ library_name: transformers
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  license: apache-2.0
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  base_model: facebook/wav2vec2-base
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  tags:
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- - audio-classification
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  - generated_from_trainer
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  datasets:
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  - superb
@@ -34,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1243
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  - Accuracy: 0.9812
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  ## Model description
@@ -55,31 +54,29 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 128
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  - eval_batch_size: 32
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  - seed: 0
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 512
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 10.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.8178 | 1.0 | 100 | 1.7386 | 0.6209 |
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- | 1.3138 | 2.0 | 200 | 1.1779 | 0.6511 |
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- | 0.9632 | 3.0 | 300 | 0.8326 | 0.8679 |
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- | 0.499 | 4.0 | 400 | 0.3697 | 0.9725 |
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- | 0.3191 | 5.0 | 500 | 0.2240 | 0.9760 |
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- | 0.242 | 6.0 | 600 | 0.1709 | 0.9793 |
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- | 0.2144 | 7.0 | 700 | 0.1460 | 0.9806 |
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- | 0.1977 | 8.0 | 800 | 0.1344 | 0.9800 |
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- | 0.1742 | 9.0 | 900 | 0.1282 | 0.9797 |
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- | 0.1867 | 10.0 | 1000 | 0.1243 | 0.9812 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: facebook/wav2vec2-base
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - superb
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0896
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  - Accuracy: 0.9812
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 48
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  - eval_batch_size: 32
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  - seed: 0
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 192
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 8.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.3624 | 1.0 | 267 | 1.1959 | 0.6546 |
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+ | 0.3854 | 2.0 | 534 | 0.2675 | 0.9734 |
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+ | 0.2473 | 3.0 | 801 | 0.1461 | 0.9768 |
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+ | 0.1997 | 4.0 | 1068 | 0.1088 | 0.9804 |
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+ | 0.1723 | 5.0 | 1335 | 0.0954 | 0.9826 |
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+ | 0.1442 | 6.0 | 1602 | 0.0927 | 0.9813 |
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+ | 0.1397 | 7.0 | 1869 | 0.0892 | 0.9812 |
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+ | 0.1368 | 7.9728 | 2128 | 0.0896 | 0.9812 |
 
 
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  ### Framework versions
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