transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:samsum base_model:minhtoan/t5-finetune-cnndaily-news base_model:finetune:minhtoan/t5-finetune-cnndaily-news license:mit autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: minhtoan/t5-finetune-cnndaily-news
datasets:
- samsum
license: mit
tags:
- generated_from_trainer
model-index:
- name: t5-finetune-cnndaily-news-sumsum
  results: []
---

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# t5-finetune-cnndaily-news-sumsum

This model is a fine-tuned version of [minhtoan/t5-finetune-cnndaily-news](https://huggingface.co/minhtoan/t5-finetune-cnndaily-news) on the sumsum dataset.

## Model description

A light weight model for light dialogue summarization tasks.

## Intended uses & limitations

Dialogue summarization. 
Not intended for large conversation.

## 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
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2