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# mt5-small-finetuned-oneindia

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on https://www.kaggle.com/datasets/akhisreelibra/malayalam-news dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0277
- Rouge1: 6.1146
- Rouge2: 0.9858
- Rougel: 6.085
- Rougelsum: 6.0965

## Model description

Model outputs summarised one liner to an article.

## Intended uses & limitations

Intended use in news domain, can be used to generate headlines to news articles.

## Training and evaluation data

https://www.kaggle.com/datasets/akhisreelibra/malayalam-news

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5.6e-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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.1789        | 1.0   | 8994  | 2.2686          | 5.5492 | 0.8569 | 5.5448 | 5.5362    |
| 2.5859        | 2.0   | 17988 | 2.1751          | 5.7343 | 0.9775 | 5.7166 | 5.7195    |
| 2.4438        | 3.0   | 26982 | 2.1082          | 5.9718 | 0.9917 | 5.9503 | 5.9586    |
| 2.3584        | 4.0   | 35976 | 2.0730          | 6.1837 | 1.0286 | 6.1562 | 6.167     |
| 2.3015        | 5.0   | 44970 | 2.0512          | 6.0863 | 0.9656 | 6.0598 | 6.0643    |
| 2.2609        | 6.0   | 53964 | 2.0440          | 6.2119 | 0.9653 | 6.1859 | 6.1899    |
| 2.2344        | 7.0   | 62958 | 2.0303          | 6.2424 | 0.9835 | 6.2121 | 6.219     |
| 2.2166        | 8.0   | 71952 | 2.0277          | 6.1146 | 0.9858 | 6.085  | 6.0965    |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
{"language": ["ml"], "license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mt5-small-finetuned-oneindia", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation summarization generated_from_trainer ml license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #summarization #generated_from_trainer #ml #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-small-finetuned-oneindia
============================


This model is a fine-tuned version of google/mt5-small on URL dataset.
It achieves the following results on the evaluation set:


* Loss: 2.0277
* Rouge1: 6.1146
* Rouge2: 0.9858
* Rougel: 6.085
* Rougelsum: 6.0965


Model description
-----------------


Model outputs summarised one liner to an article.


Intended uses & limitations
---------------------------


Intended use in news domain, can be used to generate headlines to news articles.


Training and evaluation data
----------------------------


URL


Training procedure
------------------


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-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: 8


### Training results



### Framework versions


* Transformers 4.20.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-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: 8 ### Training results ### Framework versions


* Transformers 4.20.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #summarization #generated_from_trainer #ml #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-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: 8 ### Training results ### Framework versions


* Transformers 4.20.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #summarization #generated_from_trainer #ml #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-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: 8### Training results### Framework versions


* Transformers 4.20.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1