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: google/canine-c
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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: model_data
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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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# model_data
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This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0986
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- Accuracy: 0.3333
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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: 0.002
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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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- num_epochs: 25
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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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| 1.1073 | 1.0 | 6000 | 1.1015 | 0.3333 |
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| 1.1022 | 2.0 | 12000 | 1.1043 | 0.3333 |
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| 1.103 | 3.0 | 18000 | 1.1026 | 0.3333 |
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| 1.101 | 4.0 | 24000 | 1.1163 | 0.3333 |
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| 1.1027 | 5.0 | 30000 | 1.0987 | 0.3333 |
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| 1.1026 | 6.0 | 36000 | 1.0988 | 0.3333 |
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| 1.1039 | 7.0 | 42000 | 1.0998 | 0.3333 |
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| 1.1045 | 8.0 | 48000 | 1.1015 | 0.3333 |
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| 1.1026 | 9.0 | 54000 | 1.1206 | 0.3333 |
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| 1.1035 | 10.0 | 60000 | 1.1042 | 0.3333 |
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| 1.1027 | 11.0 | 66000 | 1.0989 | 0.3333 |
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| 1.1011 | 12.0 | 72000 | 1.1176 | 0.3333 |
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| 1.1015 | 13.0 | 78000 | 1.0994 | 0.3333 |
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| 1.1025 | 14.0 | 84000 | 1.0993 | 0.3333 |
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| 1.1007 | 15.0 | 90000 | 1.1004 | 0.3333 |
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| 1.101 | 16.0 | 96000 | 1.1016 | 0.3333 |
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| 1.0999 | 17.0 | 102000 | 1.1028 | 0.3333 |
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| 1.1003 | 18.0 | 108000 | 1.0988 | 0.3333 |
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| 1.0986 | 19.0 | 114000 | 1.0989 | 0.3333 |
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| 1.0999 | 20.0 | 120000 | 1.0987 | 0.3333 |
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| 1.0997 | 21.0 | 126000 | 1.0989 | 0.3333 |
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| 1.0992 | 22.0 | 132000 | 1.0990 | 0.3333 |
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| 1.0991 | 23.0 | 138000 | 1.0986 | 0.3333 |
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| 1.0989 | 24.0 | 144000 | 1.0986 | 0.3333 |
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| 1.0984 | 25.0 | 150000 | 1.0986 | 0.3333 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.0.0+cu117
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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