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--- |
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base_model: cardiffnlp/twitter-xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.3651 |
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- eval_label_0_f1: 0.7305 |
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- eval_label_0_accuracy: 0.9498 |
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- eval_label_1_f1: 0.8458 |
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- eval_label_1_accuracy: 0.8573 |
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- eval_label_2_f1: 0.7816 |
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- eval_label_2_accuracy: 0.9576 |
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- eval_label_3_f1: 0.7638 |
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- eval_label_3_accuracy: 0.9097 |
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- eval_label_4_f1: 0.6438 |
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- eval_label_4_accuracy: 0.9420 |
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- eval_label_5_f1: 0.6857 |
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- eval_label_5_accuracy: 0.9755 |
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- eval_runtime: 5.7337 |
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- eval_samples_per_second: 156.444 |
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- eval_steps_per_second: 5.058 |
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- epoch: 5.0 |
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- step: 795 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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