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End of training
Browse files- README.md +70 -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/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-finetuned-animals
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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-finetuned-animals
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5596
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- Accuracy: 0.95
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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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| 2.1934 | 1.0 | 45 | 2.1765 | 0.3 |
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| 2.0239 | 2.0 | 90 | 1.8169 | 0.45 |
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| 1.7745 | 3.0 | 135 | 1.4817 | 0.65 |
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| 1.3787 | 4.0 | 180 | 1.2497 | 0.75 |
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| 1.2168 | 5.0 | 225 | 1.0048 | 0.85 |
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| 1.0359 | 6.0 | 270 | 0.9969 | 0.775 |
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| 0.7983 | 7.0 | 315 | 0.7467 | 0.9 |
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| 0.7466 | 8.0 | 360 | 0.7698 | 0.85 |
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| 0.6284 | 9.0 | 405 | 0.6097 | 0.9 |
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| 0.8365 | 10.0 | 450 | 0.5596 | 0.95 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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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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size 378358249
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version https://git-lfs.github.com/spec/v1
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size 378358249
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