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# mt5-small-finetuned-cnn-news-finetuned-NO3

This model is a fine-tuned version of [shivaniNK8/mt5-small-finetuned-cnn-news](https://huggingface.co/shivaniNK8/mt5-small-finetuned-cnn-news) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3662
- Rouge1: 0.4503
- Rouge2: 0.3143
- Rougel: 0.4357
- Rougelsum: 0.4395

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.5817        | 1.0   | 200  | 1.5691          | 0.4010 | 0.2702 | 0.3946 | 0.3942    |
| 2.735         | 2.0   | 400  | 1.4498          | 0.4577 | 0.3209 | 0.4473 | 0.4513    |
| 2.4035        | 3.0   | 600  | 1.3992          | 0.4843 | 0.3540 | 0.4738 | 0.4770    |
| 2.1905        | 4.0   | 800  | 1.3886          | 0.4427 | 0.3071 | 0.4285 | 0.4313    |
| 2.0849        | 5.0   | 1000 | 1.3743          | 0.4480 | 0.3096 | 0.4315 | 0.4356    |
| 2.0322        | 6.0   | 1200 | 1.3741          | 0.4567 | 0.3191 | 0.4410 | 0.4445    |
| 1.9513        | 7.0   | 1400 | 1.3693          | 0.4560 | 0.3183 | 0.4415 | 0.4445    |
| 1.943         | 8.0   | 1600 | 1.3662          | 0.4503 | 0.3143 | 0.4357 | 0.4395    |


### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mt5-small-finetuned-cnn-news-finetuned-NO3", "results": []}]}
transformers pytorch mt5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-small-finetuned-cnn-news-finetuned-NO3
==========================================


This model is a fine-tuned version of shivaniNK8/mt5-small-finetuned-cnn-news on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.3662
* Rouge1: 0.4503
* Rouge2: 0.3143
* Rougel: 0.4357
* Rougelsum: 0.4395


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: 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 4.27.3
* Pytorch 2.0.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2



### 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 4.27.3
* Pytorch 2.0.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #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 4.27.3
* Pytorch 2.0.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #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 4.27.3
* Pytorch 2.0.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2