PATENT_BERT_2 / README.md
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dheerajpai/patentbert-cased-2b
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---
license: mit
base_model: dheerajpai/patentbert
tags:
- generated_from_trainer
model-index:
- name: PATENT_BERT_2
results: []
---
<!-- 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. -->
# PATENT_BERT_2
This model is a fine-tuned version of [dheerajpai/patentbert](https://huggingface.co/dheerajpai/patentbert) on the None dataset.
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1