transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer base_model:csebuetnlp/mT5_m2o_english_crossSum base_model:finetune:csebuetnlp/mT5_m2o_english_crossSum autotrain_compatible endpoints_compatible region:us
---
base_model: csebuetnlp/mT5_m2o_english_crossSum
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: finetuned_text_summarization_model
  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. -->

#finetuned_text_summerization_model

This model is a fine-tuned version of [csebuetnlp/mT5_m2o_english_crossSum](https://huggingface.co/csebuetnlp/mT5_m2o_english_crossSum) 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
| No log        | 1.0   | 190  | 3.7432          | 0.1825 | 0.0547 | 0.1382 | 0.1383    | 33.9921          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
