End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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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: DIPROMATS_subtask_1
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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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# DIPROMATS_subtask_1
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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: 0.0338
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- F1: 0.9893
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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: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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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- mixed_precision_training: Native AMP
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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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| 0.2333 | 1.0 | 227 | 0.3143 | 0.8275 |
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| 0.2264 | 2.0 | 454 | 0.2628 | 0.8729 |
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| 0.2179 | 3.0 | 681 | 0.1320 | 0.9398 |
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| 0.1609 | 4.0 | 908 | 0.1025 | 0.9508 |
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| 0.1894 | 5.0 | 1135 | 0.0947 | 0.9640 |
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| 0.0291 | 6.0 | 1362 | 0.0581 | 0.9793 |
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| 0.0075 | 7.0 | 1589 | 0.0633 | 0.9785 |
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| 0.1243 | 8.0 | 1816 | 0.0372 | 0.9874 |
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| 0.0925 | 9.0 | 2043 | 0.0483 | 0.9851 |
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| 0.1582 | 10.0 | 2270 | 0.0338 | 0.9893 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 1.13.1
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 1112254133
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version https://git-lfs.github.com/spec/v1
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size 1112254133
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