distilroberta-base – AI Model by annsofo | AlphaNeural AI

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annsofo/
distilroberta-base

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text-classification

generated_from_trainer

distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

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distilroberta-base

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

Loss: 0.7738
Accuracy: 0.9204
F1: 0.9204
Precision: 0.9204
Recall: 0.9204

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: 2.75e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3029	2.3982	1084	0.5182	0.9038	0.9038	0.9038	0.9038
0.1449	4.7965	2168	0.4332	0.9226	0.9226	0.9226	0.9226
0.0625	7.1947	3252	0.5710	0.9237	0.9237	0.9237	0.9237
0.032	9.5929	4336	0.7402	0.9082	0.9082	0.9082	0.9082
0.013	11.9912	5420	0.7738	0.9204	0.9204	0.9204	0.9204

Framework versions

Transformers 4.45.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.20.0