Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
t5_samsum – AI Model by vaibhav1 | AlphaNeural AI
You can deploy this model and start earning money today!
vaibhav1
/
t5_samsum
like
0
transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
samsum
vaibhav1/t5-small-samsum_ep5
finetune
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
t5_samsum
This model is a fine-tuned version of
vaibhav1/t5-small-samsum_ep5
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.7431
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.9197
1.7470
100
1.7715
1.8981
3.5038
200
1.7431
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
