transformers pytorch safetensors t5 text2text-generation generated_from_trainer dataset:multi_news base_model:DunnBC22/flan-t5-base-text_summarization_data base_model:finetune:DunnBC22/flan-t5-base-text_summarization_data license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: DunnBC22/flan-t5-base-text_summarization_data
datasets:
- multi_news
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: res
  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. -->

# res

This model is a fine-tuned version of [DunnBC22/flan-t5-base-text_summarization_data](https://huggingface.co/DunnBC22/flan-t5-base-text_summarization_data) on the multi_news dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 2e-05
- train_batch_size: 5
- eval_batch_size: 5
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0           | 1.0   | 900  | nan             |
| 0.0           | 2.0   | 1800 | nan             |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
