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_998_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_998_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: 0.2033
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- Accuracy: 0.956
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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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| 0.6465 | 1.0 | 109 | 0.6712 | 0.62 |
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| 0.4621 | 2.0 | 219 | 0.5122 | 0.82 |
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| 0.4964 | 3.0 | 328 | 0.4697 | 0.788 |
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| 0.4637 | 4.0 | 438 | 0.4764 | 0.804 |
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| 0.3919 | 5.0 | 547 | 0.3494 | 0.852 |
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| 0.2591 | 6.0 | 657 | 0.2926 | 0.904 |
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| 0.4556 | 7.0 | 766 | 0.1674 | 0.952 |
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| 0.2571 | 8.0 | 876 | 0.1193 | 0.972 |
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| 0.067 | 9.0 | 985 | 0.0794 | 0.98 |
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| 0.0186 | 9.95 | 1090 | 0.2033 | 0.956 |
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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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version https://git-lfs.github.com/spec/v1
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-
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size 378350950
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version https://git-lfs.github.com/spec/v1
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size 378350950
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