---
license: apache-2.0
base_model: bert-large-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-large-cased-detect-dep-v2
  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-detect-dep-v2

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: 0.5627
- Accuracy: 0.736
- F1: 0.8081

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6292        | 1.0   | 751  | 0.5529          | 0.732    | 0.8144 |
| 0.5722        | 2.0   | 1502 | 0.5365          | 0.748    | 0.8187 |
| 0.5088        | 3.0   | 2253 | 0.5627          | 0.736    | 0.8081 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3