---
tags:
- generated_from_trainer
model-index:
- name: BERT2BERT_try_epoch15
  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. -->

# BERT2BERT_try_epoch15

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0176

## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0145        | 1.57  | 1000 | 0.0147          |
| 0.0058        | 3.14  | 2000 | 0.0157          |
| 0.002         | 4.72  | 3000 | 0.0167          |
| 0.0012        | 6.29  | 4000 | 0.0154          |
| 0.0005        | 7.86  | 5000 | 0.0155          |
| 0.0004        | 9.43  | 6000 | 0.0159          |
| 0.0005        | 11.01 | 7000 | 0.0167          |
| 0.0004        | 12.58 | 8000 | 0.0172          |
| 0.0003        | 14.15 | 9000 | 0.0176          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2