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# t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30

This model is a fine-tuned version of [/home/ullriher/ullriher/models/claimext23/t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30/checkpoint-496000](https://huggingface.co//home/ullriher/ullriher/models/claimext23/t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30/checkpoint-496000) on the /home/ullriher/ullriher/src/datasets/feversum.py dataset.

## 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: 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: 3.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.17.0
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.11.6

{"tags": ["generated_from_trainer"], "datasets": ["/home/ullriher/ullriher/src/datasets/feversum.py"], "model-index": [{"name": "t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30

This model is a fine-tuned version of /home/ullriher/ullriher/models/claimext23/t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30/checkpoint-496000 on the /home/ullriher/ullriher/src/datasets/URL dataset.

## 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: 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: 3.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.17.0
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.11.6

# t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30

This model is a fine-tuned version of /home/ullriher/ullriher/models/claimext23/t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30/checkpoint-496000 on the /home/ullriher/ullriher/src/datasets/URL dataset. ## 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: 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: 3.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.17.0
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.11.6
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30

This model is a fine-tuned version of /home/ullriher/ullriher/models/claimext23/t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30/checkpoint-496000 on the /home/ullriher/ullriher/src/datasets/URL dataset. ## 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: 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: 3.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.17.0
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.11.6
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30

This model is a fine-tuned version of /home/ullriher/ullriher/models/claimext23/t5-large-finetuned-xsum-cnn_feversum_text2claim_bs2_ep30/checkpoint-496000 on the /home/ullriher/ullriher/src/datasets/URL dataset.## 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: 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: 3.0
- mixed_precision_training: Native AMP### Framework versions

- Transformers 4.17.0
- Pytorch 1.9.0
- Datasets 2.0.0
- Tokenizers 0.11.6