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BestRobBERT1610
Tommert25/BestRobBERT1610
BestRobBERT1610 is a token classification model from Tommert25. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 12, 2023
- Updated
- Oct 13, 2023
- SHA
- a86f3b8d
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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. -->
robbert_1210seed25
This model is a fine-tuned version of Tommert25/robbert_1210seed25 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3499
- eval_precisions: 0.8378
- eval_recall: 0.8190
- eval_f-measure: 0.8274
- eval_accuracy: 0.9431
- eval_runtime: 9.6837
- eval_samples_per_second: 83.336
- eval_steps_per_second: 5.267
- 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: 7.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Oct 12, 2023
- Updated
- Oct 13, 2023