| --- |
| license: mit |
| base_model: FacebookAI/xlm-roberta-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: clef1ar |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # clef1ar |
|
|
| This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4347 |
| - F1: 0.6539 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 0.5791 | 0.4843 | 200 | 0.5243 | 0.0 | |
| | 0.5199 | 0.9685 | 400 | 0.4892 | 0.5056 | |
| | 0.4637 | 1.4528 | 600 | 0.4469 | 0.5788 | |
| | 0.4391 | 1.9370 | 800 | 0.4363 | 0.5637 | |
| | 0.4206 | 2.4213 | 1000 | 0.4347 | 0.6539 | |
| | 0.4189 | 2.9056 | 1200 | 0.4250 | 0.6359 | |
| | 0.4049 | 3.3898 | 1400 | 0.4270 | 0.6217 | |
| | 0.3796 | 3.8741 | 1600 | 0.4386 | 0.6212 | |
| | 0.4007 | 4.3584 | 1800 | 0.4310 | 0.6301 | |
| | 0.3785 | 4.8426 | 2000 | 0.4315 | 0.6205 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.40.1 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
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|
