Model save
Browse files- README.md +101 -0
- pytorch_model.bin +1 -1
README.md
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---
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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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metrics:
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- accuracy
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model-index:
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- name: IDAT_aug_red_696_Wav2Vec
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# IDAT_aug_red_696_Wav2Vec
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5564
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- Accuracy: 0.7667
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 40
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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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| 0.6862 | 0.97 | 17 | 0.6526 | 0.675 |
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| 0.609 | 2.0 | 35 | 0.6533 | 0.6917 |
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| 0.5659 | 2.97 | 52 | 0.7129 | 0.6583 |
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| 0.6223 | 4.0 | 70 | 0.5106 | 0.7833 |
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| 0.5163 | 4.97 | 87 | 0.7914 | 0.7 |
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| 0.6306 | 6.0 | 105 | 0.5960 | 0.75 |
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| 0.5651 | 6.97 | 122 | 0.7364 | 0.5583 |
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| 0.7081 | 8.0 | 140 | 0.7070 | 0.5 |
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| 0.699 | 8.97 | 157 | 0.6951 | 0.5 |
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| 0.6958 | 10.0 | 175 | 0.6934 | 0.5 |
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| 0.6978 | 10.97 | 192 | 0.6916 | 0.5 |
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| 0.6786 | 12.0 | 210 | 0.6940 | 0.5 |
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| 0.6981 | 12.97 | 227 | 0.6932 | 0.5 |
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| 0.6931 | 14.0 | 245 | 0.6933 | 0.5 |
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| 0.6939 | 14.97 | 262 | 0.6931 | 0.5 |
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| 0.6935 | 16.0 | 280 | 0.6931 | 0.5 |
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| 0.6972 | 16.97 | 297 | 0.6931 | 0.5 |
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| 0.6935 | 18.0 | 315 | 0.6931 | 0.5 |
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| 0.6931 | 18.97 | 332 | 0.6951 | 0.5 |
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| 0.6955 | 20.0 | 350 | 0.6921 | 0.7 |
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| 0.6992 | 20.97 | 367 | 0.6843 | 0.5 |
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| 0.6785 | 22.0 | 385 | 0.6919 | 0.5 |
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| 0.6661 | 22.97 | 402 | 0.6317 | 0.6417 |
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| 0.597 | 24.0 | 420 | 0.5620 | 0.75 |
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| 0.5849 | 24.97 | 437 | 0.6103 | 0.75 |
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| 0.5955 | 26.0 | 455 | 0.6245 | 0.725 |
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| 0.4777 | 26.97 | 472 | 0.5215 | 0.7833 |
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| 0.4726 | 28.0 | 490 | 0.5657 | 0.775 |
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| 0.4487 | 28.97 | 507 | 0.5306 | 0.7833 |
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| 0.4478 | 30.0 | 525 | 0.6591 | 0.7333 |
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| 0.5039 | 30.97 | 542 | 0.5304 | 0.7833 |
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| 0.5173 | 32.0 | 560 | 0.7111 | 0.7 |
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| 0.5266 | 32.97 | 577 | 0.5587 | 0.7667 |
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| 0.4677 | 34.0 | 595 | 0.5515 | 0.7667 |
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| 0.4775 | 34.97 | 612 | 0.5116 | 0.7917 |
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| 0.4651 | 36.0 | 630 | 0.5450 | 0.7667 |
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| 0.4738 | 36.97 | 647 | 0.5371 | 0.7833 |
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| 0.4862 | 38.0 | 665 | 0.5497 | 0.7667 |
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| 0.4695 | 38.86 | 680 | 0.5564 | 0.7667 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.2
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- Datasets 2.16.1
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- Tokenizers 0.13.3
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 378350950
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version https://git-lfs.github.com/spec/v1
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oid sha256:81ac357ad22a870eb47e765d0020857e878868900fc1706928c4f66faf5bac0e
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size 378350950
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