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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: Basque_Dialects_Classification |
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results: [] |
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widget: |
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- text: "Gaur eskolara etorri naiz" |
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example_title: "Example 1" |
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- text: "Gaur eskolara etorri naz" |
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example_title: "Example 2" |
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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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# Basque_Dialects_Classification |
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This model is a fine-tuned version of [ixa-ehu/roberta-eus-cc100-base-cased](https://huggingface.co/ixa-ehu/roberta-eus-cc100-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4558 |
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- F1: 0.6846 |
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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: 7.2193610624691235e-06 |
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- train_batch_size: 1 |
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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_steps: 0.7 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 1.4126 | 1.0 | 9611 | 1.4626 | 0.5893 | |
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| 1.3446 | 2.0 | 19222 | 1.5642 | 0.6421 | |
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| 1.0157 | 3.0 | 28833 | 1.5049 | 0.6596 | |
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| 1.3012 | 4.0 | 38444 | 1.4939 | 0.6708 | |
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| 1.0824 | 5.0 | 48055 | 1.4558 | 0.6846 | |
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### Framework versions |
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- Transformers 4.22.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.2 |
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- Tokenizers 0.12.1 |
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