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# tst-summarizationbetter

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the NLP-MINI-PROJECT/rabbi_kook 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8577
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 53.0

## 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: 5e-05
- 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: 3.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.11.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["NLP-MINI-PROJECT/rabbi_kook"], "metrics": ["rouge"], "model-index": [{"name": "tst-summarizationbetter", "results": [{"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "NLP-MINI-PROJECT/rabbi_kook 3.0.0", "type": "NLP-MINI-PROJECT/rabbi_kook", "args": "3.0.0"}, "metrics": [{"type": "rouge", "value": 0.0, "name": "Rouge1"}]}]}]}
transformers pytorch mt5 text2text-generation generated_from_trainer dataset:NLP-MINI-PROJECT/rabbi_kook license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #dataset-NLP-MINI-PROJECT/rabbi_kook #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# tst-summarizationbetter

This model is a fine-tuned version of google/mt5-small on the NLP-MINI-PROJECT/rabbi_kook 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8577
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 53.0

## 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: 5e-05
- 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: 3.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.11.0

# tst-summarizationbetter

This model is a fine-tuned version of google/mt5-small on the NLP-MINI-PROJECT/rabbi_kook 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8577
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 53.0 ## 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: 5e-05
- 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: 3.0 ### Training results ### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.11.0
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #dataset-NLP-MINI-PROJECT/rabbi_kook #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # tst-summarizationbetter

This model is a fine-tuned version of google/mt5-small on the NLP-MINI-PROJECT/rabbi_kook 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8577
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 53.0 ## 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: 5e-05
- 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: 3.0 ### Training results ### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.11.0
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #dataset-NLP-MINI-PROJECT/rabbi_kook #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# tst-summarizationbetter

This model is a fine-tuned version of google/mt5-small on the NLP-MINI-PROJECT/rabbi_kook 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8577
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 53.0## 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: 5e-05
- 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: 3.0### Training results### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.11.0