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xlnet-base-mnli-orgs-finetuned1
vish88/xlnet-base-mnli-orgs-finetuned1
xlnet-base-mnli-orgs-finetuned1 is a text classification model from vish88. 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
- xlnet
- Access
- Public
- Created
- Aug 5, 2022
- Updated
- Aug 11, 2022
- SHA
- b7208aef
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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. -->
xlnet-base-mnli-orgs-finetuned1
This model is a fine-tuned version of clevrly/xlnet-base-mnli-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1542
- F1: 0.6957
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2719 | 1.0 | 1462 | 0.2841 | 0.0 |
| 0.3042 | 2.0 | 2924 | 0.2664 | 0.4324 |
| 0.1366 | 3.0 | 4386 | 0.1408 | 0.6452 |
| 0.1149 | 4.0 | 5848 | 0.1387 | 0.6866 |
| 0.0986 | 5.0 | 7310 | 0.1542 | 0.6957 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlnet
- License
- mit
- Created
- Aug 5, 2022
- Updated
- Aug 11, 2022