tluo_xml_roberta_base_amazon_review_sentiment_v4 – AI Model by tlttl | AlphaNeural AI

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tlttl/
tluo_xml_roberta_base_amazon_review_sentiment_v4

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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tluo_xml_roberta_base_amazon_review_sentiment_v4

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

Loss: 0.9589
Accuracy: 0.6137

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: 1.5745609276104923e-05
train_batch_size: 4
eval_batch_size: 4
seed: 25
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1074	0.17	5000	1.0468	0.5493
1.0461	0.33	10000	1.0222	0.558
1.0245	0.5	15000	0.9776	0.5793
0.9876	0.67	20000	1.0327	0.571
1.0073	0.83	25000	0.9695	0.5807
0.9808	1.0	30000	1.0077	0.5857
0.9399	1.17	35000	1.0113	0.6043
0.8944	1.33	40000	0.9534	0.5947
0.908	1.5	45000	1.0155	0.5947
0.9238	1.67	50000	0.9813	0.597
0.8699	1.83	55000	0.9646	0.6027
0.8829	2.0	60000	0.9589	0.6137
0.8214	2.17	65000	1.0378	0.6017
0.8052	2.33	70000	1.0080	0.6003
0.7807	2.5	75000	1.0830	0.604
0.7927	2.67	80000	1.0225	0.6007
0.8358	2.83	85000	0.9989	0.5997
0.7899	3.0	90000	1.0108	0.6023

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2