transformers tensorboard safetensors encoder-decoder text2text-generation generated_from_trainer base_model:houdini001/BERT2BERT_try autotrain_compatible endpoints_compatible region:us
---
base_model: houdini001/BERT2BERT_try
tags:
- generated_from_trainer
model-index:
- name: BERT2BERT_try_ep11
  results: []
---

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# BERT2BERT_try_ep11

This model is a fine-tuned version of [houdini001/BERT2BERT_try](https://huggingface.co/houdini001/BERT2BERT_try) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0240

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.012         | 1.57  | 1000 | 0.0237          |
| 0.0024        | 3.14  | 2000 | 0.0238          |
| 0.0009        | 4.72  | 3000 | 0.0234          |
| 0.0004        | 6.29  | 4000 | 0.0240          |
| 0.0003        | 7.86  | 5000 | 0.0237          |
| 0.0003        | 9.43  | 6000 | 0.0240          |


### Framework versions

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