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---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mitre-bert-base-cased
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. -->
# mitre-bert-base-cased
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0145
- Accuracy: 0.6994
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2761 | 0.68 | 500 | 0.8453 | 0.6864 |
| 0.7448 | 1.36 | 1000 | 0.7566 | 0.7164 |
| 0.6056 | 2.04 | 1500 | 0.7187 | 0.7318 |
| 0.4763 | 2.72 | 2000 | 0.7134 | 0.7307 |
| 0.4276 | 3.41 | 2500 | 0.7604 | 0.7420 |
| 0.3855 | 4.09 | 3000 | 0.7493 | 0.7362 |
| 0.3303 | 4.77 | 3500 | 0.7727 | 0.7423 |
| 0.313 | 5.45 | 4000 | 0.8053 | 0.7263 |
| 0.2948 | 6.13 | 4500 | 0.8555 | 0.7280 |
| 0.2779 | 6.81 | 5000 | 0.8839 | 0.7127 |
| 0.2526 | 7.49 | 5500 | 0.9097 | 0.7144 |
| 0.2576 | 8.17 | 6000 | 0.9421 | 0.7171 |
| 0.2461 | 8.86 | 6500 | 0.9821 | 0.7018 |
| 0.2357 | 9.54 | 7000 | 1.0145 | 0.6994 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|