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my-fast-bert – AI Model by Jyotirmoy006 | AlphaNeural AI
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Jyotirmoy006
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my-fast-bert
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased-finetuned-sst-2-english
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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my-fast-bert
This model is a fine-tuned version of
distilbert-base-uncased-finetuned-sst-2-english
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4477
Accuracy: 0.8333
F1: 0.8855
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: Use OptimizerNames.ADAMW_TORCH_FUSED 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
F1
No log
1.0
230
0.4546
0.7917
0.8485
No log
2.0
460
0.3974
0.8260
0.8795
0.5003
3.0
690
0.4477
0.8333
0.8855
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
