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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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- accuracy |
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- f1 |
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base_model: xlm-roberta-base |
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model-index: |
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- name: xlm-r-base-leyzer-en-intent |
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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-r-base-leyzer-en-intent |
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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: 0.1995 |
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- Accuracy: 0.9624 |
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- F1: 0.9624 |
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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: 7 |
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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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| 1.9235 | 1.0 | 1061 | 1.5991 | 0.6680 | 0.6680 | |
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| 0.8738 | 2.0 | 2122 | 0.7982 | 0.8359 | 0.8359 | |
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| 0.4406 | 3.0 | 3183 | 0.4689 | 0.9132 | 0.9132 | |
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| 0.2534 | 4.0 | 4244 | 0.3165 | 0.9360 | 0.9360 | |
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| 0.1593 | 5.0 | 5305 | 0.2434 | 0.9507 | 0.9507 | |
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| 0.108 | 6.0 | 6366 | 0.2104 | 0.9599 | 0.9599 | |
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| 0.0914 | 7.0 | 7427 | 0.1995 | 0.9624 | 0.9624 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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