---
license: apache-2.0
tags:
- generated_from_trainer
base_model: jojoUla/bert-large-cased-sigir-support-refute-no-label-40
model-index:
- name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-1
  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-LR10-8-fast-1

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: 0.7031

## 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: 8.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8499        | 1.0   | 1    | 2.8894          |
| 2.7733        | 2.0   | 2    | 2.9629          |
| 2.6545        | 3.0   | 3    | 0.8196          |
| 0.8553        | 4.0   | 4    | 1.8409          |
| 1.7039        | 5.0   | 5    | 1.7637          |
| 1.1732        | 6.0   | 6    | 1.3654          |
| 1.0781        | 7.0   | 7    | 0.0671          |
| 2.3492        | 8.0   | 8    | 0.0112          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3