transformers tensorboard safetensors mbart text2text-generation generated_from_trainer base_model:houdini001/nep-spell-mbart-epoch3 autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
base_model: houdini001/nep-spell-mbart-epoch3
model-index:
- name: nep-spell-mbart-epoch5
  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. -->

# nep-spell-mbart-epoch5

This model is a fine-tuned version of [houdini001/nep-spell-mbart-epoch3](https://huggingface.co/houdini001/nep-spell-mbart-epoch3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0026        | 0.32  | 2000  | 0.0001          |
| 0.0           | 0.63  | 4000  | 0.0001          |
| 0.0           | 0.95  | 6000  | 0.0000          |
| 0.0           | 1.27  | 8000  | 0.0000          |
| 0.0           | 1.58  | 10000 | 0.0000          |
| 0.0           | 1.9   | 12000 | 0.0000          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
