---
license: apache-2.0
base_model: bert-large-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-large-cased-massive_intent
  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-massive_intent

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: 0.6377
- Accuracy: 0.8942

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.6229        | 1.0   | 1440  | 1.1695          | 0.7718   |
| 0.9067        | 2.0   | 2880  | 0.6360          | 0.8603   |
| 0.4804        | 3.0   | 4320  | 0.5548          | 0.8746   |
| 0.3044        | 4.0   | 5760  | 0.5343          | 0.8913   |
| 0.2077        | 5.0   | 7200  | 0.6043          | 0.8913   |
| 0.1442        | 6.0   | 8640  | 0.6377          | 0.8942   |
| 0.1096        | 7.0   | 10080 | 0.6919          | 0.8888   |
| 0.0796        | 8.0   | 11520 | 0.7272          | 0.8908   |
| 0.0622        | 9.0   | 12960 | 0.7530          | 0.8918   |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1