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distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier – AI Model by sauc-abadal-lloret | AlphaNeural AI
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sauc-abadal-lloret
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distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier
This model is a fine-tuned version of
sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2862
Precision: 0.9244
Recall: 0.9016
F1: 0.9129
Accuracy: 0.916
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2988
1.0
313
0.2395
0.8938
0.9139
0.9037
0.905
0.1755
2.0
626
0.2566
0.9121
0.8934
0.9027
0.906
0.1105
3.0
939
0.2862
0.9244
0.9016
0.9129
0.916
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
