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flan_t5_large_chat_summary
Amalq/flan_t5_large_chat_summary
flan_t5_large_chat_summary is a machine learning model from Amalq. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 23, 2023
- Updated
- Mar 25, 2023
- SHA
- d3e398bc
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. -->
Flan_t5_Large_Chat_Summary
This model is a fine-tuned version of google/flan-t5-large on the shared_TaskA dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Example Uses
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer_pre = AutoTokenizer.from_pretrained("Amalq/flan_t5_large_chat_summary")
model_pre = AutoModelForSeq2SeqLM.from_pretrained("Amalq/flan_t5_large_chat_summary")
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- Mar 23, 2023
- Updated
- Mar 25, 2023