This model was selected as the best checkpoint from a hyperparameter sweep over 8 runs. It achieved the highest evaluation accuracy across all configurations tested.
Model Details
Model type:
Encoder-only transformer
Training objective:
Sequence classification
Sweep strategy:
Bayesian optimization
Evaluation Results
Metric
Value
eval_accuracy
0.901
eval_loss
0.245
f1_score
0.894
precision
0.908
recall
0.881
Training Configuration
The best run was trained with the following hyperparameters:
Parameter
Value
learning_rate
2e-05
batch_size
64
epochs
12
weight_decay
0.001
Usage
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("SweepBestModel-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("SweepBestModel-TestRepo")
License
This model is licensed under the Apache-2.0 License.
Runs of dusersad12 SweepBestModel-TestRepo on huggingface.co
7
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-4
30-day runs
More Information About SweepBestModel-TestRepo huggingface.co Model
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