Model save
Browse files- README.md +72 -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_red_aug_869_copy_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_red_aug_869_copy_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: 0.0063
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- Accuracy: 1.0
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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: 10
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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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| 0.4459 | 1.0 | 200 | 0.4801 | 0.7963 |
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| 0.5254 | 2.0 | 400 | 0.4503 | 0.7738 |
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| 0.5278 | 3.0 | 600 | 0.4660 | 0.8137 |
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| 0.5598 | 4.0 | 800 | 0.3887 | 0.8675 |
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| 0.3893 | 5.0 | 1000 | 0.4363 | 0.8125 |
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| 0.1335 | 6.0 | 1200 | 0.0675 | 0.9788 |
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| 0.0871 | 7.0 | 1400 | 0.1389 | 0.98 |
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| 0.0193 | 8.0 | 1600 | 0.0083 | 1.0 |
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| 0.0515 | 9.0 | 1800 | 0.0071 | 1.0 |
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| 0.0208 | 10.0 | 2000 | 0.0063 | 1.0 |
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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:e7a895d7ba858444b945171b871657c7981ca32b1eba538884191d8cb6e735c6
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size 378350950
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