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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- allocine
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model-index:
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- name: model
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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
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This model is a fine-tuned version of [cmarkea/distilcamembert-base](https://huggingface.co/cmarkea/distilcamembert-base) on the allocine dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0254
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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: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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: 20.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.4388 | 1.0 | 157 | 2.1637 |
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| 2.288 | 2.0 | 314 | 2.1697 |
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| 2.2444 | 3.0 | 471 | 2.1150 |
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| 2.2166 | 4.0 | 628 | 2.0906 |
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| 2.1754 | 5.0 | 785 | 2.0899 |
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| 2.1604 | 6.0 | 942 | 2.0797 |
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| 2.1299 | 7.0 | 1099 | 2.0589 |
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| 2.1195 | 8.0 | 1256 | 2.0178 |
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| 2.1258 | 9.0 | 1413 | 2.0348 |
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| 2.1071 | 10.0 | 1570 | 2.0090 |
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| 2.0888 | 11.0 | 1727 | 2.0047 |
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| 2.0792 | 12.0 | 1884 | 2.0219 |
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| 2.0687 | 13.0 | 2041 | 2.0080 |
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| 2.0527 | 14.0 | 2198 | 2.0298 |
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| 2.0589 | 15.0 | 2355 | 1.9869 |
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| 2.0518 | 16.0 | 2512 | 2.0152 |
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| 2.0409 | 17.0 | 2669 | 2.0247 |
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| 2.0507 | 18.0 | 2826 | 1.9928 |
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| 2.0366 | 19.0 | 2983 | 2.0175 |
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| 2.0386 | 20.0 | 3140 | 1.9487 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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