Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
test_chat_summarization – Dataset by arifzanko | AlphaNeural AI
You can deploy this model and start earning money today!
arifzanko
/
test_chat_summarization
like
0
10K<n<100K
csv
text
datasets
pandas
mlcroissant
polars
us
Views
No views yet
Model card
Files and Versions
Community
API
test_chat_summarization
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4747
Rouge1: 32.7975
Rouge2: 23.2226
Rougel: 32.22
Rougelsum: 32.1021
Gen Len: 19.0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0848
1.0
1257
2.4747
32.7975
23.2226
32.22
32.1021
19.0
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
