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# synonyms_5000_plus_3000_default_3_epoch

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the midas/inspec generation dataset, concatenated with data augmented custom artemfilipenko/synonyms-augmented-5x-inspec dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7956
- F1@5ext: 0.4590
- P@5ext: 0.6116
- R@5ext: 0.4109
- F1@10ext: 0.5403
- P@10ext: 0.5953
- R@10ext: 0.5374
- F1@5abs: 0.2019
- P@5abs: 0.3080
- R@5abs: 0.1721
- F1@10abs: 0.2307
- P@10abs: 0.3066
- R@10abs: 0.2109
- F1@oext: 0.5427
- P@oext: 0.6045
- R@oext: 0.5246
- F1@oabs: 0.2316
- P@oabs: 0.3079
- R@oabs: 0.2094

## 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: 10
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- 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 4.24.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.6.1
- Tokenizers 0.13.1
{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["midas/inspec", "artemfilipenko/synonyms-augmented-5x-inspec"], "metrics": ["f1"], "model-index": [{"name": "synonyms_5000_plus_3000_default_3_epoch", "results": []}]}
transformers pytorch bart text2text-generation generated_from_trainer en dataset:midas/inspec dataset:artemfilipenko/synonyms-augmented-5x-inspec license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bart #text2text-generation #generated_from_trainer #en #dataset-midas/inspec #dataset-artemfilipenko/synonyms-augmented-5x-inspec #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 




# synonyms_5000_plus_3000_default_3_epoch

This model is a fine-tuned version of facebook/bart-large on the midas/inspec generation dataset, concatenated with data augmented custom artemfilipenko/synonyms-augmented-5x-inspec dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7956
- F1@5ext: 0.4590
- P@5ext: 0.6116
- R@5ext: 0.4109
- F1@10ext: 0.5403
- P@10ext: 0.5953
- R@10ext: 0.5374
- F1@5abs: 0.2019
- P@5abs: 0.3080
- R@5abs: 0.1721
- F1@10abs: 0.2307
- P@10abs: 0.3066
- R@10abs: 0.2109
- F1@oext: 0.5427
- P@oext: 0.6045
- R@oext: 0.5246
- F1@oabs: 0.2316
- P@oabs: 0.3079
- R@oabs: 0.2094

## 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: 10
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- 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 4.24.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.6.1
- Tokenizers 0.13.1
# synonyms_5000_plus_3000_default_3_epoch

This model is a fine-tuned version of facebook/bart-large on the midas/inspec generation dataset, concatenated with data augmented custom artemfilipenko/synonyms-augmented-5x-inspec dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7956
- F1@5ext: 0.4590
- P@5ext: 0.6116
- R@5ext: 0.4109
- F1@10ext: 0.5403
- P@10ext: 0.5953
- R@10ext: 0.5374
- F1@5abs: 0.2019
- P@5abs: 0.3080
- R@5abs: 0.1721
- F1@10abs: 0.2307
- P@10abs: 0.3066
- R@10abs: 0.2109
- F1@oext: 0.5427
- P@oext: 0.6045
- R@oext: 0.5246
- F1@oabs: 0.2316
- P@oabs: 0.3079
- R@oabs: 0.2094 ## 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: 10
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- 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 4.24.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.6.1
- Tokenizers 0.13.1
TAGS
#transformers #pytorch #bart #text2text-generation #generated_from_trainer #en #dataset-midas/inspec #dataset-artemfilipenko/synonyms-augmented-5x-inspec #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # synonyms_5000_plus_3000_default_3_epoch

This model is a fine-tuned version of facebook/bart-large on the midas/inspec generation dataset, concatenated with data augmented custom artemfilipenko/synonyms-augmented-5x-inspec dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7956
- F1@5ext: 0.4590
- P@5ext: 0.6116
- R@5ext: 0.4109
- F1@10ext: 0.5403
- P@10ext: 0.5953
- R@10ext: 0.5374
- F1@5abs: 0.2019
- P@5abs: 0.3080
- R@5abs: 0.1721
- F1@10abs: 0.2307
- P@10abs: 0.3066
- R@10abs: 0.2109
- F1@oext: 0.5427
- P@oext: 0.6045
- R@oext: 0.5246
- F1@oabs: 0.2316
- P@oabs: 0.3079
- R@oabs: 0.2094 ## 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: 10
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- 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 4.24.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.6.1
- Tokenizers 0.13.1