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sentence-compression – AI Model by AlexMaclean | AlphaNeural AI
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AlexMaclean
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sentence-compression
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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sentence-compression
This model is a fine-tuned version of
distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2973
Accuracy: 0.8912
F1: 0.8367
Precision: 0.8495
Recall: 0.8243
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: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.2686
1.0
10000
0.2667
0.8894
0.8283
0.8725
0.7884
0.2205
2.0
20000
0.2704
0.8925
0.8372
0.8579
0.8175
0.1476
3.0
30000
0.2973
0.8912
0.8367
0.8495
0.8243
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu113
Datasets 1.16.1
Tokenizers 0.10.3
