---
license: apache-2.0
base_model: bert-large-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-large-cased-bn-adapter-3.17M-snli-model3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-large-cased-bn-adapter-3.17M-snli-model3

This model is a fine-tuned version of [bert-large-cased](https://huggingface.co./bert-large-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7627
- Accuracy: 0.7315

## 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: 64
- eval_batch_size: 64
- seed: 61
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4101        | 1.0   | 8584  | 0.3392          | 0.8718   |
| 0.3707        | 2.0   | 17168 | 0.3116          | 0.8842   |
| 0.3628        | 3.0   | 25752 | 0.3035          | 0.8879   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0