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update model card README.md
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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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datasets:
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- superb
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-ks-finetuning
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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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# wav2vec2-base-ks-finetuning
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2050
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- Accuracy: 0.9813
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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: 256
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- eval_batch_size: 256
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- seed: 0
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 1024
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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: 10.0
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- mixed_precision_training: Native AMP
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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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| 1.6773 | 1.0 | 50 | 1.6218 | 0.6209 |
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| 1.4707 | 2.0 | 100 | 1.4400 | 0.6209 |
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| 1.1387 | 3.0 | 150 | 1.0470 | 0.6599 |
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| 0.7909 | 4.0 | 200 | 0.6997 | 0.8903 |
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| 0.5488 | 5.0 | 250 | 0.4567 | 0.9640 |
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| 0.4195 | 6.0 | 300 | 0.3288 | 0.9754 |
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| 0.3445 | 7.0 | 350 | 0.2598 | 0.9809 |
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| 0.3107 | 8.0 | 400 | 0.2261 | 0.9813 |
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| 0.2781 | 9.0 | 450 | 0.2104 | 0.9810 |
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| 0.2729 | 10.0 | 500 | 0.2050 | 0.9813 |
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### Framework versions
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- Transformers 4.22.0.dev0
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- Pytorch 1.11.0+cu115
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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