Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
summary – AI Model by scholars | AlphaNeural AI
You can deploy this model and start earning money today!
scholars
/
summary
like
0
transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
Langboat/mengzi-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
summary
This model is a fine-tuned version of
Langboat/mengzi-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9630
Rouge-1: 0.4964
Rouge-2: 0.3280
Rouge-l: 0.4232
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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge-1
Rouge-2
Rouge-l
2.4098
1.0
154
2.1446
0.4972
0.3216
0.4191
1.9617
2.0
308
1.9971
0.4864
0.3178
0.4148
1.9305
3.0
462
1.9630
0.4964
0.3280
0.4232
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu118
Datasets 3.6.0
Tokenizers 0.21.1
