End of training
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README.md
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---
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license: apache-2.0
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base_model: facebook/hubert-base-ls960
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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: hubert-base-ls960-finetuned-ks-verbtest5
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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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# hubert-base-ls960-finetuned-ks-verbtest5
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0423
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- Accuracy: 0.9987
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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: 5
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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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| 0.7615 | 1.0 | 50 | 0.4485 | 0.9931 |
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| 0.2415 | 2.0 | 100 | 0.1326 | 0.9937 |
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| 0.1371 | 3.0 | 150 | 0.0669 | 0.9981 |
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| 0.1255 | 4.0 | 200 | 0.0494 | 0.9975 |
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| 0.0731 | 5.0 | 250 | 0.0423 | 0.9987 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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runs/Jan04_14-04-08_18e74966facb/events.out.tfevents.1704378597.18e74966facb.23528.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9005aae32f6efcbd82e6fd2cb30706243f0030c970d23c5023c2c24d68becad
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size 411
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