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distilroberta-fast – AI Model by marcuscedricridia | AlphaNeural AI
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distilroberta-fast
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transformers
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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distilroberta-fast
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0529
Accuracy: 0.9845
F1: 0.9845
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: 5e-06
train_batch_size: 32
eval_batch_size: 32
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.0433
1.0
2379
0.0529
0.9845
0.9845
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
