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t5-small-feversum
ctu-aic/t5-small-feversum
t5-small-feversum is a machine learning model from ctu-aic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Apr 24, 2023
- Updated
- Apr 24, 2023
- SHA
- 9691d309
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30
This model is a fine-tuned version of /home/ullriher/ullriher/models/claimext23/t5-small-finetuned-xsum_feversum3_text2claim_bs2_ep30/checkpoint-4500 on the /home/ullriher/ullriher/src/datasets/feversum3.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
- Library
- transformers
- Type
- t5
- Created
- Apr 24, 2023
- Updated
- Apr 24, 2023