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_grn_aug_973_novel_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_grn_aug_973_novel_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: 0.5915
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- Accuracy: 0.74
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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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| 0.672 | 1.0 | 100 | 0.6156 | 0.7125 |
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| 0.6533 | 2.0 | 200 | 0.5154 | 0.7725 |
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| 0.4959 | 3.0 | 300 | 0.5467 | 0.7475 |
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| 0.493 | 4.0 | 400 | 0.4605 | 0.78 |
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| 0.6211 | 5.0 | 500 | 0.6512 | 0.67 |
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| 0.4627 | 6.0 | 600 | 0.5480 | 0.75 |
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| 0.5924 | 7.0 | 700 | 0.5902 | 0.6375 |
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| 0.5114 | 8.0 | 800 | 0.4713 | 0.735 |
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| 0.5119 | 9.0 | 900 | 0.4668 | 0.7675 |
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| 0.4429 | 10.0 | 1000 | 0.5915 | 0.74 |
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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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-
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 sha256:6953486cb77673a561f4d43161f28ec363c9afb9a1935a4d47b57cd8b0a41e85
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size 378350950
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