pytorch tensorboard bert fill-mask transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: BERiT
  results: []
---

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# BERiT

This model is a fine-tuned version of [onlplab/alephbert-base](https://huggingface.co/onlplab/alephbert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5800

## 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: 0.0001
- 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.6813        | 1.0   | 2582  | 4.5557          |
| 4.4115        | 2.0   | 5164  | 4.4279          |
| 4.2192        | 3.0   | 7746  | 4.3661          |
| 4.0148        | 4.0   | 10328 | 4.2336          |
| 3.8166        | 5.0   | 12910 | 4.2115          |
| 3.5512        | 6.0   | 15492 | 4.0535          |
| 3.4319        | 7.0   | 18074 | 3.8681          |
| 3.2164        | 8.0   | 20656 | 3.9730          |
| 3.0837        | 9.0   | 23238 | 3.7807          |
| 2.9773        | 10.0  | 25820 | 3.6773          |
| 2.8521        | 11.0  | 28402 | 3.7304          |
| 2.6034        | 12.0  | 30984 | 3.6530          |
| 2.4614        | 13.0  | 33566 | 3.6396          |
| 2.3812        | 14.0  | 36148 | 3.7146          |
| 2.3812        | 15.0  | 38730 | 3.5800          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
