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--- |
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license: mit |
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base_model: DeepaPeri/xlm-roberta-base-en-5 |
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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-en-15 |
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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-en-15 |
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This model is a fine-tuned version of [DeepaPeri/xlm-roberta-base-en-5](https://huggingface.co/DeepaPeri/xlm-roberta-base-en-5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5872 |
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- F1: 0.8359 |
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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: 20 |
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- eval_batch_size: 20 |
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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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| 0.1525 | 1.0 | 1000 | 0.3252 | 0.8107 | |
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| 0.1294 | 2.0 | 2000 | 0.3068 | 0.8076 | |
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| 0.1024 | 3.0 | 3000 | 0.3503 | 0.8117 | |
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| 0.0778 | 4.0 | 4000 | 0.3877 | 0.8248 | |
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| 0.0587 | 5.0 | 5000 | 0.4293 | 0.8113 | |
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| 0.0397 | 6.0 | 6000 | 0.4690 | 0.8235 | |
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| 0.0313 | 7.0 | 7000 | 0.4946 | 0.8283 | |
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| 0.0188 | 8.0 | 8000 | 0.5559 | 0.8327 | |
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| 0.0121 | 9.0 | 9000 | 0.5771 | 0.8361 | |
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| 0.0079 | 10.0 | 10000 | 0.5872 | 0.8359 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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