Training completed!
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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base_model: xlm-roberta-base
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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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- f1
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model-index:
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- name: xlm-roberta-base-Final_Mixed-aug_replace_synonym-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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# xlm-roberta-base-Final_Mixed-aug_replace_synonym-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: 0.9852
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- Accuracy: 0.74
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- F1: 0.7369
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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: 16
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- eval_batch_size: 16
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 1.0471 | 1.0 | 87 | 0.9289 | 0.64 | 0.5512 |
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| 0.9553 | 2.0 | 174 | 0.7912 | 0.64 | 0.5672 |
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| 0.7049 | 3.0 | 261 | 0.6276 | 0.75 | 0.7341 |
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| 0.5556 | 4.0 | 348 | 0.7291 | 0.74 | 0.7291 |
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| 0.435 | 5.0 | 435 | 0.6930 | 0.72 | 0.7163 |
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| 0.3534 | 6.0 | 522 | 0.8526 | 0.74 | 0.7369 |
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| 0.2774 | 7.0 | 609 | 0.9620 | 0.73 | 0.7259 |
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| 0.2152 | 8.0 | 696 | 0.9852 | 0.74 | 0.7369 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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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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size 1112252785
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version https://git-lfs.github.com/spec/v1
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size 1112252785
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