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wav2vec2
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Files changed (9) hide show
  1. README.md +27 -14
  2. best/config.json +54 -54
  3. best/label2id.pkl +1 -1
  4. best/model.safetensors +1 -1
  5. best/training_args.bin +1 -1
  6. config.json +54 -54
  7. model.safetensors +1 -1
  8. runs/Aug07_12-55-41_DESKTOP-SIV78OS/events.out.tfevents.1723017342.DESKTOP-SIV78OS +3 -0
  9. training_args.bin +1 -1
README.md CHANGED
@@ -1,4 +1,5 @@
1
  ---
 
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  base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
@@ -16,11 +17,11 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0935
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- - Accuracy: 0.9734
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- - F1-score: 0.9731
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- - Recall-score: 0.9734
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- - Precision-score: 0.9746
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  ## Model description
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@@ -40,7 +41,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 32
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  - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -52,14 +53,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Recall-score | Precision-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------------:|:---------------:|
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- | 0.7793 | 1.0 | 556 | 0.7195 | 0.7981 | 0.7642 | 0.7981 | 0.7911 |
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- | 1.0073 | 2.0 | 1112 | 0.3774 | 0.9000 | 0.8979 | 0.9000 | 0.9064 |
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- | 0.8493 | 3.0 | 1668 | 0.1909 | 0.9456 | 0.9451 | 0.9456 | 0.9512 |
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- | 0.353 | 4.0 | 2224 | 0.1337 | 0.9668 | 0.9668 | 0.9668 | 0.9679 |
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- | 0.3413 | 5.0 | 2780 | 0.0794 | 0.9819 | 0.9819 | 0.9819 | 0.9823 |
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- | 0.0197 | 6.0 | 3336 | 0.0969 | 0.9756 | 0.9757 | 0.9756 | 0.9763 |
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- | 0.1234 | 7.0 | 3892 | 0.0873 | 0.9781 | 0.9782 | 0.9781 | 0.9793 |
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- | 0.0222 | 8.0 | 4448 | 0.0935 | 0.9734 | 0.9731 | 0.9734 | 0.9746 |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
1
  ---
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+ license: apache-2.0
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  base_model: facebook/wav2vec2-base
4
  tags:
5
  - generated_from_trainer
 
17
 
18
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0149
21
+ - Accuracy: 0.9962
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+ - F1-score: 0.9962
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+ - Recall-score: 0.9962
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+ - Precision-score: 0.9962
25
 
26
  ## Model description
27
 
 
41
 
42
  The following hyperparameters were used during training:
43
  - learning_rate: 5e-05
44
+ - train_batch_size: 64
45
  - eval_batch_size: 64
46
  - seed: 42
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
53
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Recall-score | Precision-score |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------------:|:---------------:|
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+ | 1.1736 | 1.0 | 278 | 0.9850 | 0.7898 | 0.7552 | 0.7898 | 0.7813 |
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+ | 0.4185 | 2.0 | 556 | 0.4326 | 0.9106 | 0.8991 | 0.9106 | 0.9062 |
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+ | 0.3854 | 3.0 | 834 | 0.2507 | 0.9363 | 0.9335 | 0.9363 | 0.9409 |
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+ | 0.2509 | 4.0 | 1112 | 0.1460 | 0.9666 | 0.9665 | 0.9666 | 0.9673 |
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+ | 0.107 | 5.0 | 1390 | 0.1278 | 0.9641 | 0.9640 | 0.9641 | 0.9689 |
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+ | 0.3585 | 6.0 | 1668 | 0.1188 | 0.9758 | 0.9758 | 0.9758 | 0.9764 |
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+ | 0.2611 | 7.0 | 1946 | 0.1148 | 0.9704 | 0.9702 | 0.9704 | 0.9722 |
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+ | 0.2493 | 8.0 | 2224 | 0.0638 | 0.9824 | 0.9824 | 0.9824 | 0.9828 |
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+ | 0.0351 | 9.0 | 2502 | 0.0492 | 0.9887 | 0.9887 | 0.9887 | 0.9890 |
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+ | 0.4708 | 10.0 | 2780 | 0.0479 | 0.9883 | 0.9883 | 0.9883 | 0.9885 |
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+ | 0.2958 | 11.0 | 3058 | 0.0561 | 0.9865 | 0.9865 | 0.9865 | 0.9870 |
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+ | 0.138 | 12.0 | 3336 | 0.0308 | 0.9916 | 0.9916 | 0.9916 | 0.9918 |
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+ | 0.0525 | 13.0 | 3614 | 0.0226 | 0.9944 | 0.9944 | 0.9944 | 0.9944 |
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+ | 0.0332 | 14.0 | 3892 | 0.0293 | 0.9916 | 0.9916 | 0.9916 | 0.9920 |
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+ | 0.0332 | 15.0 | 4170 | 0.0202 | 0.9953 | 0.9953 | 0.9953 | 0.9953 |
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+ | 0.339 | 16.0 | 4448 | 0.0210 | 0.9955 | 0.9955 | 0.9955 | 0.9955 |
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+ | 0.211 | 17.0 | 4726 | 0.0218 | 0.9959 | 0.9959 | 0.9959 | 0.9960 |
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+ | 0.0017 | 18.0 | 5004 | 0.0181 | 0.9964 | 0.9964 | 0.9964 | 0.9964 |
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+ | 0.1646 | 19.0 | 5282 | 0.0166 | 0.9959 | 0.9959 | 0.9959 | 0.9960 |
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+ | 0.0014 | 20.0 | 5560 | 0.0149 | 0.9962 | 0.9962 | 0.9962 | 0.9962 |
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  ### Framework versions
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