'Your call has been forwarded to an automated voice message'
'Laura Burton. -- is not available. Record your message at'
"I'm sorry. No one is available to take your call."
phone_tree
'Thank you for calling'
"Calling. To Connect and Park, just To Connect and Park, just say you're"
'For calling the NatWest Group helpline.'
Uses
Direct Use for Inference
First install the SetFit library:
pip install setfit
Then you can load this model and run inference.
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("nikcheerla/amd-partial-phonetree-v1")
# Run inference
preds = model("Thank you for calling CHS. If you are a CHS owner,")
Training Details
Training Set Metrics
Training set
Min
Median
Max
Word count
1
8.3697
29
Label
Training Sample Count
phone_tree
5010
voicemail
5486
Training Hyperparameters
batch_size: (64, 64)
num_epochs: (3, 3)
max_steps: -1
sampling_strategy: oversampling
num_iterations: 20
body_learning_rate: (2e-05, 1e-05)
head_learning_rate: 0.01
loss: CosineSimilarityLoss
distance_metric: cosine_distance
margin: 0.25
end_to_end: False
use_amp: True
warmup_proportion: 0.1
seed: 42
eval_max_steps: -1
load_best_model_at_end: True
Training Results
Epoch
Step
Training Loss
Validation Loss
0.0002
1
0.2457
-
1.0
6560
0.0057
0.1113
2.0
13120
0.0198
0.1127
3.0
19680
0.0193
0.117
The bold row denotes the saved checkpoint.
Framework Versions
Python: 3.10.12
SetFit: 1.0.1
Sentence Transformers: 2.2.2
Transformers: 4.35.2
PyTorch: 2.0.1+cu118
Datasets: 2.16.1
Tokenizers: 0.15.0
Citation
BibTeX
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
Runs of nikcheerla amd-partial-phonetree-v1 on huggingface.co
3.8K
Total runs
0
24-hour runs
-130
3-day runs
348
7-day runs
1.7K
30-day runs
More Information About amd-partial-phonetree-v1 huggingface.co Model
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