xlm-roberta-base-finetuned-removed-0530 – AI Model by YeRyeongLee | AlphaNeural AI

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YeRyeongLee/
xlm-roberta-base-finetuned-removed-0530

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-finetuned-removed-0530

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: 0.9944
Accuracy: 0.8717
F1: 0.8719

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	3180	0.6390	0.7899	0.7852
No log	2.0	6360	0.5597	0.8223	0.8230
No log	3.0	9540	0.5177	0.8462	0.8471
No log	4.0	12720	0.5813	0.8642	0.8647
No log	5.0	15900	0.7324	0.8557	0.8568
No log	6.0	19080	0.7589	0.8626	0.8634
No log	7.0	22260	0.7958	0.8752	0.8751
0.3923	8.0	25440	0.9177	0.8651	0.8653
0.3923	9.0	28620	1.0188	0.8673	0.8671
0.3923	10.0	31800	0.9944	0.8717	0.8719

Framework versions

Transformers 4.19.2
Pytorch 1.9.0
Datasets 1.16.1
Tokenizers 0.12.1