transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:Falconsai/text_summarization base_model:finetune:Falconsai/text_summarization license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: Falconsai/text_summarization
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: text_summarization_finetuned2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# text_summarization_finetuned2

This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3126
- Rouge1: 0.0675
- Rouge2: 0.0578
- Rougel: 0.0674
- Rougelsum: 0.0674
- Gen Len: 19.0

## 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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.4139        | 1.0   | 2000 | 0.3411          | 0.0632 | 0.0524 | 0.0632 | 0.0632    | 19.0    |
| 0.3635        | 2.0   | 4000 | 0.3215          | 0.0658 | 0.0557 | 0.0658 | 0.0658    | 19.0    |
| 0.348         | 3.0   | 6000 | 0.3146          | 0.0668 | 0.0571 | 0.0668 | 0.0668    | 19.0    |
| 0.3445        | 4.0   | 8000 | 0.3126          | 0.0675 | 0.0578 | 0.0674 | 0.0674    | 19.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
