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google_summarization – AI Model by matthew-mcc | AlphaNeural AI
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matthew-mcc
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google_summarization
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
matthew-mcc/google_summarization
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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google_summarization
This model is a fine-tuned version of
matthew-mcc/google_summarization
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6378
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.7453
1.0
1500
1.6085
1.5817
2.0
3000
1.5919
1.4864
3.0
4500
1.5984
1.3933
4.0
6000
1.6007
1.3403
5.0
7500
1.6159
1.2759
6.0
9000
1.6277
1.2191
7.0
10500
1.6324
1.208
8.0
12000
1.6378
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
