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# finetunedtopicscustomdata5

This model is a fine-tuned version of [fabiochiu/t5-base-medium-title-generation](https://huggingface.co/fabiochiu/t5-base-medium-title-generation) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.0717
- eval_rouge1: 42.0048
- eval_rouge2: 30.2988
- eval_rougeL: 40.511
- eval_rougeLsum: 40.5566
- eval_gen_len: 11.1905
- eval_runtime: 634.4609
- eval_samples_per_second: 3.152
- eval_steps_per_second: 1.576
- epoch: 2.0
- step: 2000

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "finetunedtopicscustomdata5", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# finetunedtopicscustomdata5

This model is a fine-tuned version of fabiochiu/t5-base-medium-title-generation on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.0717
- eval_rouge1: 42.0048
- eval_rouge2: 30.2988
- eval_rougeL: 40.511
- eval_rougeLsum: 40.5566
- eval_gen_len: 11.1905
- eval_runtime: 634.4609
- eval_samples_per_second: 3.152
- eval_steps_per_second: 1.576
- epoch: 2.0
- step: 2000

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

# finetunedtopicscustomdata5

This model is a fine-tuned version of fabiochiu/t5-base-medium-title-generation on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.0717
- eval_rouge1: 42.0048
- eval_rouge2: 30.2988
- eval_rougeL: 40.511
- eval_rougeLsum: 40.5566
- eval_gen_len: 11.1905
- eval_runtime: 634.4609
- eval_samples_per_second: 3.152
- eval_steps_per_second: 1.576
- epoch: 2.0
- step: 2000 ## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # finetunedtopicscustomdata5

This model is a fine-tuned version of fabiochiu/t5-base-medium-title-generation on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.0717
- eval_rouge1: 42.0048
- eval_rouge2: 30.2988
- eval_rougeL: 40.511
- eval_rougeLsum: 40.5566
- eval_gen_len: 11.1905
- eval_runtime: 634.4609
- eval_samples_per_second: 3.152
- eval_steps_per_second: 1.576
- epoch: 2.0
- step: 2000 ## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3