---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-cased-sigir-LR100-0-cased-20
  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-sigir-LR100-0-cased-20

This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5289

## 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: 30
- eval_batch_size: 30
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.0635        | 1.0   | 1    | 6.6184          |
| 7.131         | 2.0   | 2    | 7.0072          |
| 7.0969        | 3.0   | 3    | 5.8833          |
| 6.087         | 4.0   | 4    | 5.2094          |
| 5.8314        | 5.0   | 5    | 5.3317          |
| 5.1807        | 6.0   | 6    | 5.0294          |
| 5.0853        | 7.0   | 7    | 4.3234          |
| 4.5785        | 8.0   | 8    | 4.0070          |
| 4.0047        | 9.0   | 9    | 3.5287          |
| 3.5236        | 10.0  | 10   | 4.0761          |
| 4.2192        | 11.0  | 11   | 3.2353          |
| 3.6715        | 12.0  | 12   | 3.6203          |
| 3.4242        | 13.0  | 13   | 2.7801          |
| 3.1152        | 14.0  | 14   | 3.6127          |
| 2.9266        | 15.0  | 15   | 2.2571          |
| 3.4507        | 16.0  | 16   | 2.8120          |
| 3.0439        | 17.0  | 17   | 3.1393          |
| 2.6443        | 18.0  | 18   | 3.4350          |
| 2.8907        | 19.0  | 19   | 1.0329          |
| 2.8591        | 20.0  | 20   | 2.0586          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2