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rtmex23-pol2-cardif
javilonso/rtmex23-pol2-cardif
rtmex23-pol2-cardif is a text classification model from javilonso. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 14, 2023
- Updated
- May 15, 2023
- SHA
- 1c8f7801
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
rtmex23-pol2-cardif
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.7781
- eval_f1: 0.6070
- eval_runtime: 119.5054
- eval_samples_per_second: 210.283
- eval_steps_per_second: 26.292
- epoch: 8.0
- step: 113088
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Framework versions
- Transformers 4.29.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- May 14, 2023
- Updated
- May 15, 2023