roberta_base_operons_classifier – AI Model by bif02 | AlphaNeural AI

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bif02/
roberta_base_operons_classifier

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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roberta_base_operons_classifier

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3564
Accuracy: 0.8514

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 0
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	239	0.4170	0.8337
No log	2.0	478	0.4006	0.8443
0.4299	3.0	717	0.3845	0.8491
0.4299	4.0	956	0.3647	0.8491
0.3391	5.0	1195	0.3503	0.8420
0.3391	6.0	1434	0.3561	0.8514
0.2932	7.0	1673	0.3807	0.8337
0.2932	8.0	1912	0.3975	0.8384
0.2551	9.0	2151	0.4376	0.8384
0.2551	10.0	2390	0.4339	0.8408

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2