ec_classfication_0502_roberta_base – AI Model by kimsiun | AlphaNeural AI

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kimsiun/
ec_classfication_0502_roberta_base

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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ec_classfication_0502_roberta_base

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

Loss: 1.2218
F1: 0.8261

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	59	0.5035	0.6667
No log	2.0	118	0.4384	0.8257
No log	3.0	177	0.4558	0.8172
No log	4.0	236	0.6789	0.8511
No log	5.0	295	0.8515	0.8182
No log	6.0	354	0.9891	0.8172
No log	7.0	413	1.0469	0.8200
No log	8.0	472	1.2050	0.8222
0.177	9.0	531	1.2098	0.8261
0.177	10.0	590	1.2588	0.8132
0.177	11.0	649	1.2539	0.8261
0.177	12.0	708	1.2014	0.8261
0.177	13.0	767	1.2437	0.8261
0.177	14.0	826	1.2202	0.8261
0.177	15.0	885	1.2218	0.8261

Framework versions

Transformers 4.27.3
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2