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balanced-genai-training – AI Model by ahsan-mavros | AlphaNeural AI
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balanced-genai-training
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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balanced-genai-training
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: 0.0895
Rouge1: 97.1196
Rouge2: 88.8856
Rougel: 97.1174
Rougelsum: 97.1196
Gen Len: 5.3088
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.1037
1.0
1226
0.0895
97.1196
88.8856
97.1174
97.1196
5.3088
Framework versions
Transformers 4.33.1
Pytorch 1.12.0+cu102
Datasets 2.14.5
Tokenizers 0.13.3
