Model save
Browse files- README.md +92 -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-large
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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metrics:
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- accuracy
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model-index:
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- name: facebook_wav2vec2-large_October_03_2023_05h34PM
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: audiofolder
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type: audiofolder
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config: default
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split: validation
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9743347801471975
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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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# facebook_wav2vec2-large_October_03_2023_05h34PM
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This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1318
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- Accuracy: 0.9743
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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: 15
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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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| 0.4214 | 1.0 | 121 | 0.3650 | 0.7932 |
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| 0.1959 | 2.0 | 242 | 0.2588 | 0.8960 |
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| 0.1365 | 3.0 | 363 | 0.0732 | 0.9713 |
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| 0.1003 | 4.0 | 484 | 0.0849 | 0.9719 |
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| 0.0806 | 5.0 | 605 | 0.2170 | 0.9381 |
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| 0.0588 | 6.0 | 726 | 0.0738 | 0.9760 |
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| 0.0472 | 7.0 | 847 | 0.2083 | 0.9409 |
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| 0.0505 | 8.0 | 968 | 0.1020 | 0.9760 |
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| 0.0427 | 9.0 | 1089 | 0.0626 | 0.9809 |
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| 0.0285 | 10.0 | 1210 | 0.1062 | 0.9732 |
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| 0.0286 | 11.0 | 1331 | 0.1068 | 0.9738 |
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| 0.0231 | 12.0 | 1452 | 0.1137 | 0.9755 |
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| 0.0232 | 13.0 | 1573 | 0.0783 | 0.9815 |
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| 0.0158 | 14.0 | 1694 | 0.1138 | 0.9755 |
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| 0.0164 | 15.0 | 1815 | 0.1318 | 0.9743 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.2.0.dev20230927+cu121
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- Datasets 2.14.5
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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 1262909158
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version https://git-lfs.github.com/spec/v1
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oid sha256:a57e9df8367c15b30622c0b097f3dac47630f2e1dd44ae6607d59d7f8b1179dc
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size 1262909158
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