transformers tensorboard safetensors encoder-decoder text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: BERT2BERT_try
  results: []
---

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# BERT2BERT_try

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: 0.0150

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2457        | 0.08  | 50   | 0.0349          |
| 0.0445        | 0.16  | 100  | 0.0297          |
| 0.0339        | 0.24  | 150  | 0.0214          |
| 0.0234        | 0.31  | 200  | 0.0221          |
| 0.0193        | 0.39  | 250  | 0.0211          |
| 0.027         | 0.47  | 300  | 0.0172          |
| 0.0199        | 0.55  | 350  | 0.0176          |
| 0.021         | 0.63  | 400  | 0.0162          |
| 0.0231        | 0.71  | 450  | 0.0164          |
| 0.021         | 0.79  | 500  | 0.0152          |
| 0.0235        | 0.86  | 550  | 0.0149          |
| 0.0178        | 0.94  | 600  | 0.0150          |


### Framework versions

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