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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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metrics: |
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- f1 |
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model-index: |
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- name: xlm-roberta-base-finetuned-panx-de-fr |
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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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# xlm-roberta-base-finetuned-panx-de-fr |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8299 |
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- F1: 0.5812 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 10 |
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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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| 1.0225 | 1.0 | 17160 | 0.8581 | 0.2009 | |
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| 0.8737 | 2.0 | 34320 | 0.9759 | 0.2485 | |
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| 0.7939 | 3.0 | 51480 | 0.8271 | 0.3923 | |
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| 0.7049 | 4.0 | 68640 | 0.8624 | 0.4401 | |
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| 0.6224 | 5.0 | 85800 | 0.7628 | 0.5075 | |
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| 0.5286 | 6.0 | 102960 | 0.7342 | 0.5185 | |
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| 0.4555 | 7.0 | 120120 | 0.7734 | 0.5370 | |
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| 0.3873 | 8.0 | 137280 | 0.7164 | 0.5646 | |
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| 0.3218 | 9.0 | 154440 | 0.8536 | 0.5756 | |
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| 0.2721 | 10.0 | 171600 | 0.8299 | 0.5812 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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