encoder_distilroberta – AI Model by Xyren2005 | AlphaNeural AI

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Xyren2005/
encoder_distilroberta

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token-classification

generated_from_trainer

distilbert/distilroberta-base

endpoints_compatible

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encoder_distilroberta

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0709
F1: 0.9117

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: 4e-05
train_batch_size: 64
eval_batch_size: 128
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
lr_scheduler_warmup_steps: 4640
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	F1	Validation Loss
0.1511	1.0	2901	0.8117	0.1268
0.0962	2.0	5802	0.8733	0.0841
0.0680	3.0	8703	0.0744	0.8899
0.0515	4.0	11604	0.0669	0.8972
0.0436	5.0	14505	0.0675	0.9058
0.0370	6.0	17406	0.0673	0.9099
0.0307	7.0	20307	0.0689	0.9110
0.0261	8.0	23208	0.0709	0.9117

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2