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baseline_nli_xlmr_base_zero_shot
jalaluddin94/baseline_nli_xlmr_base_zero_shot
baseline_nli_xlmr_base_zero_shot is a text classification model from jalaluddin94. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023
- SHA
- 4ff7286a
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Base models
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. -->
baseline_nli_xlmr_base_zero_shot
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.1086
- eval_accuracy: 0.2918
- eval_precision: 0.2918
- eval_recall: 0.2918
- eval_f1_score: 0.1318
- eval_runtime: 44.4438
- eval_samples_per_second: 49.433
- eval_steps_per_second: 4.14
- step: 0
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: 3e-06
- train_batch_size: 12
- eval_batch_size: 12
- seed: 101
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023