# Multilingual mT5 model trained with MLSUM_TR and MLSUM_CNN (EN)

## Results:

MLSUM_TR:
* Rouge-1: 45.11
* Rouge-2: 30.96
* Rouge-L: 39.23

MLSUM_CNN:
* Rouge-1: 39.65
* Rouge-2: 17.49
* Rouge-L: 27.66

Note: Huggingface Inference API truncates the results, which results in unfinished sentences when making a prediction.
You can try the model in Colab: https://colab.research.google.com/drive/1QDWO3RHjjP1nS8bIvhT38B3fVIBC3TaK?usp=sharing
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transformers pytorch mt5 text2text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# Multilingual mT5 model trained with MLSUM_TR and MLSUM_CNN (EN)

## Results:

MLSUM_TR:
* Rouge-1: 45.11
* Rouge-2: 30.96
* Rouge-L: 39.23

MLSUM_CNN:
* Rouge-1: 39.65
* Rouge-2: 17.49
* Rouge-L: 27.66

Note: Huggingface Inference API truncates the results, which results in unfinished sentences when making a prediction.
You can try the model in Colab: URL
# Multilingual mT5 model trained with MLSUM_TR and MLSUM_CNN (EN) ## Results:

MLSUM_TR:
* Rouge-1: 45.11
* Rouge-2: 30.96
* Rouge-L: 39.23

MLSUM_CNN:
* Rouge-1: 39.65
* Rouge-2: 17.49
* Rouge-L: 27.66

Note: Huggingface Inference API truncates the results, which results in unfinished sentences when making a prediction.
You can try the model in Colab: URL
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Multilingual mT5 model trained with MLSUM_TR and MLSUM_CNN (EN) ## Results:

MLSUM_TR:
* Rouge-1: 45.11
* Rouge-2: 30.96
* Rouge-L: 39.23

MLSUM_CNN:
* Rouge-1: 39.65
* Rouge-2: 17.49
* Rouge-L: 27.66

Note: Huggingface Inference API truncates the results, which results in unfinished sentences when making a prediction.
You can try the model in Colab: URL
passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Multilingual mT5 model trained with MLSUM_TR and MLSUM_CNN (EN)## Results:

MLSUM_TR:
* Rouge-1: 45.11
* Rouge-2: 30.96
* Rouge-L: 39.23

MLSUM_CNN:
* Rouge-1: 39.65
* Rouge-2: 17.49
* Rouge-L: 27.66

Note: Huggingface Inference API truncates the results, which results in unfinished sentences when making a prediction.
You can try the model in Colab: URL