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resume_label_summary_model – AI Model by Eitanli | AlphaNeural AI
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Eitanli
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resume_label_summary_model
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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resume_label_summary_model
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9802
Rouge1: 0.3129
Rouge2: 0.191
Rougel: 0.3133
Rougelsum: 0.3126
Gen Len: 15.4611
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
49
2.6885
0.209
0.0961
0.21
0.2094
18.4456
No log
2.0
98
1.9802
0.3129
0.191
0.3133
0.3126
15.4611
Framework versions
Transformers 4.28.1
Pytorch 2.0.1
Datasets 2.10.1
Tokenizers 0.13.2
