transformers tensorboard safetensors mbart text2text-generation generated_from_trainer base_model:Samuael/amBART_261 autotrain_compatible endpoints_compatible region:us
---
base_model: Samuael/amBART_261
tags:
- generated_from_trainer
model-index:
- name: amBART
  results: []
---

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# amBART

This model is a fine-tuned version of [Samuael/amBART_261](https://huggingface.co/Samuael/amBART_261) on an unknown dataset.

## 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: 0.02
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
