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# mt5-small-finetuned-beer-ctg-en

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the beer_reviews_label_drift_neg dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5562
- Rouge1: 26.1727
- Rouge2: 15.5176
- Rougel: 26.1813
- Rougelsum: 26.5943

## 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: 0.01
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 5.6484        | 1.0   | 115  | 3.7051          | 14.9617 | 2.9719  | 14.9901 | 15.104    |
| 3.7622        | 2.0   | 230  | 3.2168          | 21.9807 | 0.0     | 21.8357 | 21.8277   |
| 3.4237        | 3.0   | 345  | 2.8767          | 8.9642  | 5.2358  | 8.9597  | 9.0307    |
| 2.8204        | 4.0   | 460  | 2.4836          | 21.9807 | 0.0     | 21.8357 | 21.8277   |
| 2.3335        | 5.0   | 575  | 2.2340          | 8.9642  | 5.2358  | 8.9597  | 9.0307    |
| 2.1118        | 6.0   | 690  | 1.9121          | 8.9642  | 5.2358  | 8.9597  | 9.0307    |
| 1.7533        | 7.0   | 805  | 1.6571          | 25.9752 | 13.5161 | 25.8609 | 26.2153   |
| 1.5755        | 8.0   | 920  | 1.5562          | 26.1727 | 15.5176 | 26.1813 | 26.5943   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["beer_reviews_label_drift_neg"], "metrics": ["rouge"], "model-index": [{"name": "mt5-small-finetuned-beer-ctg-en", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "beer_reviews_label_drift_neg", "type": "beer_reviews_label_drift_neg", "config": "default", "split": "validation", "args": "default"}, "metrics": [{"type": "rouge", "value": 26.1727, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer dataset:beer_reviews_label_drift_neg license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #dataset-beer_reviews_label_drift_neg #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-small-finetuned-beer-ctg-en
===============================


This model is a fine-tuned version of google/mt5-small on the beer\_reviews\_label\_drift\_neg dataset.
It achieves the following results on the evaluation set:


* Loss: 1.5562
* Rouge1: 26.1727
* Rouge2: 15.5176
* Rougel: 26.1813
* Rougelsum: 26.5943


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: 0.01
* 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: 8


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.01
* 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: 8 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #dataset-beer_reviews_label_drift_neg #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.01
* 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: 8 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #dataset-beer_reviews_label_drift_neg #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.01
* 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: 8### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2