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flan-t5-xl-deepspeed-zero3-summary – AI Model by Laurie | AlphaNeural AI
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flan-t5-xl-deepspeed-zero3-summary
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
cnn_dailymail
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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flan-t5-xl-deepspeed-zero3-summary
This model is a fine-tuned version of
google/flan-t5-large
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
Loss: 1.4054
Rouge1: 42.6105
Rouge2: 20.2181
Rougel: 29.7866
Rougelsum: 39.4431
Gen Len: 98.0013
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 10
total_train_batch_size: 80
total_eval_batch_size: 80
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.6011
1.0
3589
1.4054
42.6105
20.2181
29.7866
39.4431
98.0013
Framework versions
Transformers 4.26.0
Pytorch 1.12.0
Datasets 2.9.0
Tokenizers 0.13.3
