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bert-large-uncased_new_ner_format_fn_on_csv_no_eval
bisoye/bert-large-uncased_new_ner_format_fn_on_csv_no_eval
bert-large-uncased_new_ner_format_fn_on_csv_no_eval is a machine learning model from bisoye. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 17, 2024
- Updated
- Sep 18, 2024
- SHA
- 29ee3a02
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. -->
bert-large-uncased_new_ner_format_fn_on_csv_no_eval
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3185
- Wer: 0.0776
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1010
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3351 | 1.0 | 2370 | 0.3214 | 0.0776 |
| 0.3181 | 2.0 | 4740 | 0.3185 | 0.0776 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Sep 17, 2024
- Updated
- Sep 18, 2024