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flan_t5_large_chat_summary – AI Model by Amalq | AlphaNeural AI

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Amalq/
flan_t5_large_chat_summary

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0

text2text-generation

Amalq/shared_TaskA

text-generation-inference

endpoints_compatible

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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

python

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")