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README.md
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---
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license: apache-2.0
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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: neunit-ks
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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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# neunit-ks
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7001
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- Accuracy: 0.0
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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| No log | 1.0 | 1 | 0.6335 | 1.0 |
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| No log | 2.0 | 2 | 0.6335 | 1.0 |
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| No log | 3.0 | 3 | 0.6442 | 1.0 |
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| No log | 4.0 | 4 | 0.6573 | 1.0 |
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| No log | 5.0 | 5 | 0.6710 | 1.0 |
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| No log | 6.0 | 6 | 0.6812 | 1.0 |
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| No log | 7.0 | 7 | 0.6884 | 1.0 |
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| No log | 8.0 | 8 | 0.6947 | 0.0 |
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| No log | 9.0 | 9 | 0.6984 | 0.0 |
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| 0.1653 | 10.0 | 10 | 0.7001 | 0.0 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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