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t5-large-snl
navjordj/t5-large-snl
t5-large-snl is a machine learning model from navjordj. 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
- Mar 5, 2023
- Updated
- Apr 4, 2023
- SHA
- 69ae9ba6
Datasets
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-large-snl-2
This model is a fine-tuned version of navjordj/t5-large-snl on the navjordj/SNL_summarization dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.8691
- eval_rouge1: 35.1506
- eval_rouge2: 16.0888
- eval_rougeL: 29.7007
- eval_rougeLsum: 32.4251
- eval_gen_len: 41.5629
- eval_runtime: 261.235
- eval_samples_per_second: 3.135
- eval_steps_per_second: 0.199
- step: 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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- Created
- Mar 5, 2023
- Updated
- Apr 4, 2023