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# Bert2Bert_m_finetined_on_HunSum_1128

This model is a fine-tuned version of [](https://huggingface.co/) on the arrow 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"tags": ["summarization", "generated_from_trainer"], "datasets": ["arrow"], "model-index": [{"name": "Bert2Bert_m_finetined_on_HunSum_1128", "results": []}]}
transformers tensorboard safetensors encoder-decoder text2text-generation summarization generated_from_trainer dataset:arrow autotrain_compatible endpoints_compatible region:us