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weights – AI Model by salahyahya | AlphaNeural AI
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salahyahya
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weights
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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weights
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5900
Rouge1: 71.7543
Rouge2: 61.6318
Rougel: 71.0262
Rougelsum: 71.05
Gen Len: 17.2679
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
gradient_accumulation_steps: 6
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.6473
0.48
500
0.5969
71.6842
61.5104
70.9466
70.9698
17.2779
0.6444
0.96
1000
0.5900
71.7543
61.6318
71.0262
71.05
17.2679
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
