transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer base_model:Hasanur525/deed-summarization_version_5 base_model:finetune:Hasanur525/deed-summarization_version_5 autotrain_compatible endpoints_compatible region:us
---
base_model: Hasanur525/deed-summarization_version_5
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: deed-summarization_version_9
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deed-summarization_version_9

This model is a fine-tuned version of [Hasanur525/deed-summarization_version_5](https://huggingface.co/Hasanur525/deed-summarization_version_5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3233
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 83.5

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.472         | 1.0   | 1    | 1.3233          | 0.0    | 0.0    | 0.0    | 0.0       | 83.5    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0.dev20230811+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
