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results – AI Model by atreyodas | AlphaNeural AI
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atreyodas
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results
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
samsum
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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results
This model is a fine-tuned version of
t5-small
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 0.4111
Rouge1: 0.3967
Rouge2: 0.1634
Rougel: 0.3272
Rougelsum: 0.3265
Gen Len: 16.6764
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: 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
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.4776
0.9992
920
0.4190
0.3949
0.1687
0.3315
0.3313
16.2958
0.4642
1.9984
1840
0.4140
0.3954
0.1693
0.3324
0.3326
16.4707
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
