---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40
  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. -->

# bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40

This model is a fine-tuned version of [jojoUla/bert-large-cased-sigir-support-refute-no-label-40](https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1048

## 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: 4e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.9062        | 1.0   | 1    | 5.6418          |
| 4.5785        | 2.0   | 2    | 5.3839          |
| 6.6562        | 3.0   | 3    | 5.0883          |
| 4.0274        | 4.0   | 4    | 4.4272          |
| 2.9225        | 5.0   | 5    | 4.1994          |
| 1.9388        | 6.0   | 6    | 2.9638          |
| 2.6745        | 7.0   | 7    | 2.4477          |
| 2.0988        | 8.0   | 8    | 2.4030          |
| 2.3506        | 9.0   | 9    | 3.5475          |
| 1.734         | 10.0  | 10   | 0.1426          |
| 1.8435        | 11.0  | 11   | 2.2994          |
| 1.5274        | 12.0  | 12   | 1.5195          |
| 1.5668        | 13.0  | 13   | 1.3508          |
| 1.4771        | 14.0  | 14   | 1.5684          |
| 1.4649        | 15.0  | 15   | 0.0011          |
| 1.0896        | 16.0  | 16   | 2.2005          |
| 0.9002        | 17.0  | 17   | 0.0748          |
| 1.2433        | 18.0  | 18   | 0.4664          |
| 1.4224        | 19.0  | 19   | 1.5759          |
| 0.791         | 20.0  | 20   | 0.4863          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2