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flan-t5-ellis – AI Model by gsl22 | AlphaNeural AI
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gsl22
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flan-t5-ellis
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-ellis
This model is a fine-tuned version of
google/flan-t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8109
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
0.995
9.96
500
0.8963
0.7497
19.93
1000
0.7965
0.6163
29.89
1500
0.7912
0.5471
39.85
2000
0.8116
0.5249
49.81
2500
0.8109
Framework versions
Transformers 4.31.0
Pytorch 2.1.0+cu121
Datasets 2.13.0
Tokenizers 0.13.3
