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distilbert_cnndailymail – AI Model by yustafk | AlphaNeural AI
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yustafk
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distilbert_cnndailymail
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transformers
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_cnndailymail
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: 0.6421
Accuracy: 0.7089
Precision: 0.1916
Recall: 0.69
F1: 0.2999
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: 64
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.5283
1.0
6128
0.5398
0.6214
0.1702
0.8233
0.2821
0.4674
2.0
12256
0.5546
0.6446
0.1751
0.7907
0.2868
0.3969
3.0
18384
0.6421
0.7089
0.1916
0.69
0.2999
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
