xlm-roberta-base-Balance_Mixed-aug_insert_w2v – AI Model by ThuyNT03 | AlphaNeural AI

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ThuyNT03/
xlm-roberta-base-Balance_Mixed-aug_insert_w2v

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-Balance_Mixed-aug_insert_w2v

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

Loss: 0.9400
Accuracy: 0.74
F1: 0.7312

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.0846	1.0	68	0.9484	0.59	0.5066
0.8918	2.0	136	0.8377	0.69	0.6472
0.7005	3.0	204	0.6713	0.7	0.6792
0.5632	4.0	272	0.7028	0.74	0.7332
0.4355	5.0	340	0.7085	0.75	0.7394
0.3093	6.0	408	0.8062	0.74	0.7317
0.2411	7.0	476	0.9110	0.75	0.7402
0.2013	8.0	544	0.9400	0.74	0.7312

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3