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distilbert_goodreads_book_classification – AI Model by Chima207 | AlphaNeural AI
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Chima207
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distilbert_goodreads_book_classification
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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distilbert_goodreads_book_classification
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0030
Accuracy: 0.5159
F1 Score: 0.5065
Precision: 0.5073
Recall: 0.5159
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Score
Precision
Recall
0.4212
1.0000
8519
1.7610
0.5058
0.4913
0.5018
0.5058
0.247
1.9999
17038
2.0030
0.5159
0.5065
0.5073
0.5159
Framework versions
Transformers 4.45.2
Pytorch 2.5.1
Datasets 4.1.1
Tokenizers 0.20.1
