transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer ur dataset:mirfan899/movies_reviews_summaries base_model:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: reviews_sum
  results: []
datasets:
- mirfan899/movies_reviews_summaries
language:
- ur
---

<!-- 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. -->

# reviews_sum

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an [mirfan899/movies_reviews_summaries](https://huggingface.co/datasets/mirfan899/movies_reviews_summaries) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0004
- Rouge1: 0.0606
- Rouge2: 0.0075
- Rougel: 0.0615
- Rougelsum: 0.0611
- 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 395  | 2.2625          | 0.0346 | 0.0069 | 0.035  | 0.0352    | 18.9778 |
| 3.319         | 2.0   | 790  | 2.1100          | 0.0419 | 0.0093 | 0.0428 | 0.0426    | 19.0    |
| 2.2853        | 3.0   | 1185 | 2.0675          | 0.047  | 0.0061 | 0.0483 | 0.0481    | 19.0    |
| 2.0122        | 4.0   | 1580 | 2.0005          | 0.0584 | 0.0095 | 0.0601 | 0.0599    | 19.0    |
| 2.0122        | 5.0   | 1975 | 2.0004          | 0.0606 | 0.0075 | 0.0615 | 0.0611    | 19.0    |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1