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Grammar_Summarizer – AI Model by Floyd93 | AlphaNeural AI
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Floyd93
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Grammar_Summarizer
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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Grammar_Summarizer
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5127
Rouge1: 0.4494
Rouge2: 0.3672
Rougel: 0.3833
Rougelsum: 0.3849
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: 0.0005
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
lr_scheduler_warmup_steps: 90
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
2.2799
0.25
100
1.0334
0.3916
0.3085
0.2696
0.2717
1.0618
0.5
200
0.6095
0.3287
0.2746
0.2891
0.2900
0.8719
0.76
300
0.5127
0.4494
0.3672
0.3833
0.3849
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
