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my_distilbert_model – AI Model by Lepolesa | AlphaNeural AI
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Lepolesa
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my_distilbert_model
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
rotten_tomatoes
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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my_distilbert_model
This model is a fine-tuned version of
distilbert-base-uncased
on the rotten_tomatoes dataset. It achieves the following results on the evaluation set:
Loss: 0.5344
Accuracy: 0.8499
F1: 0.8499
Precision: 0.8499
Recall: 0.8499
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4179
1.0
534
0.3769
0.8415
0.8413
0.8428
0.8415
0.2395
2.0
1068
0.4314
0.8490
0.8490
0.8490
0.8490
0.1638
3.0
1602
0.5344
0.8499
0.8499
0.8499
0.8499
Framework versions
Transformers 4.33.2
Pytorch 1.10.0
Datasets 2.14.5
Tokenizers 0.13.3
