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_331_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_331_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: 1.1132
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- Accuracy: 0.8101
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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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| 0.6483 | 0.99 | 40 | 0.5523 | 0.8101 |
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| 0.5877 | 1.99 | 80 | 0.7576 | 0.3924 |
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| 0.6174 | 2.98 | 120 | 0.8804 | 0.4367 |
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| 0.2921 | 4.0 | 161 | 0.1146 | 1.0 |
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| 0.0318 | 4.99 | 201 | 0.0188 | 1.0 |
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| 0.0088 | 5.99 | 241 | 0.7975 | 0.8101 |
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| 0.0055 | 6.98 | 281 | 1.0067 | 0.8101 |
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| 0.0042 | 8.0 | 322 | 1.0728 | 0.8101 |
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| 0.0036 | 8.99 | 362 | 1.1028 | 0.8101 |
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| 0.0034 | 9.94 | 400 | 1.1132 | 0.8101 |
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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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size 378350950
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