Training in progress, epoch 1
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- model.safetensors +1 -1
README.md
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base_model: EuroBERT/EuroBERT-210m
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tags:
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- generated_from_trainer
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model-index:
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- name: EuroBERT-immigration-stance-
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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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# EuroBERT-immigration-stance-
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This model is a fine-tuned version of [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on the None dataset.
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## Model description
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- lr_scheduler_warmup_ratio: 0.06
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- num_epochs: 10
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### Framework versions
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- Transformers 4.50.0
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base_model: EuroBERT/EuroBERT-210m
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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: EuroBERT-immigration-stance-positive
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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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# EuroBERT-immigration-stance-positive
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This model is a fine-tuned version of [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1444
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- Accuracy: 0.7389
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- F1 Macro: 0.7210
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- Accuracy Balanced: 0.7165
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- F1 Micro: 0.7389
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- Precision Macro: 0.7342
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- Recall Macro: 0.7165
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- Precision Micro: 0.7389
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- Recall Micro: 0.7389
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## Model description
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- lr_scheduler_warmup_ratio: 0.06
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
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| 0.697 | 1.0 | 654 | 0.6768 | 0.5908 | 0.3714 | 0.5 | 0.5908 | 0.2954 | 0.5 | 0.5908 | 0.5908 |
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| 0.7267 | 2.0 | 1308 | 0.6543 | 0.5878 | 0.5797 | 0.6340 | 0.5878 | 0.6642 | 0.6340 | 0.5878 | 0.5878 |
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| 0.7024 | 3.0 | 1962 | 0.9052 | 0.6779 | 0.6778 | 0.7044 | 0.6779 | 0.7076 | 0.7044 | 0.6779 | 0.6779 |
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| 0.675 | 4.0 | 2616 | 1.1944 | 0.7206 | 0.7088 | 0.7073 | 0.7206 | 0.7108 | 0.7073 | 0.7206 | 0.7206 |
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| 0.5142 | 5.0 | 3270 | 1.4177 | 0.7160 | 0.7097 | 0.7126 | 0.7160 | 0.7084 | 0.7126 | 0.7160 | 0.7160 |
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| 0.3573 | 6.0 | 3924 | 1.6717 | 0.7267 | 0.7159 | 0.7148 | 0.7267 | 0.7172 | 0.7148 | 0.7267 | 0.7267 |
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| 0.1643 | 7.0 | 4578 | 1.6307 | 0.7389 | 0.7295 | 0.7292 | 0.7389 | 0.7300 | 0.7292 | 0.7389 | 0.7389 |
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| 0.1253 | 8.0 | 5232 | 1.8601 | 0.7374 | 0.7187 | 0.7141 | 0.7374 | 0.7331 | 0.7141 | 0.7374 | 0.7374 |
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| 0.0937 | 9.0 | 5886 | 2.0865 | 0.7420 | 0.7209 | 0.7157 | 0.7420 | 0.7412 | 0.7157 | 0.7420 | 0.7420 |
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| 0.0562 | 10.0 | 6540 | 2.1444 | 0.7389 | 0.7210 | 0.7165 | 0.7389 | 0.7342 | 0.7165 | 0.7389 | 0.7389 |
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### Framework versions
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- Transformers 4.50.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 849445136
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version https://git-lfs.github.com/spec/v1
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size 849445136
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