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DistilledSent10m
Amanaccessassist/DistilledSent10m
DistilledSent10m is a text classification model from Amanaccessassist. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
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499 MB on disk
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Jan 20, 2024
- Updated
- Jan 20, 2024
- SHA
- ffb726a2
Try a prompt
Model card
From the Hugging Face model README
Total Samples
Samples: 716017(Train+Test)
Training Samples: 579973
Validation Samples :64442
Test Samples :71602
Overall Metrics
Accuracy :92%
F1 Score:92%
Recall:92%
Precisison: 92%
Fine Tune Parameters
No of epochs: 3
Batch Size: 16
evaluation startegy: epoch
optimiser:Adamw
learning_rate:2e-5
max_steps:1000
warmup_step: 100
Monitoring Train & Evaluation:WANDB API
Train
train_runtime': 1594.4072, 'train_samples_per_second': 80.281, 'train_steps_per_second': 0.627, 'total_flos': 5589761482241280.0, 'train_loss': 0.26639655661582945, 'epoch': 0.22
Validation
'eval_loss': 0.22991116344928741,'eval_accuracy': 0.9211073523478477,'eval_precision': 0.9213582014463746,'eval_recall': 0.921107352347847'eval_f1': 0.9210970707304227,
'eval_runtime': 238.5409,'eval_samples_per_second': 270.151,'eval_steps_per_second': 8.443,'epoch': 0.22
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- Jan 20, 2024
- Updated
- Jan 20, 2024