16class_all9k_promptcor_23nov23_xlm_robt_case – AI Model by dsmsb | AlphaNeural AI

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dsmsb/
16class_all9k_promptcor_23nov23_xlm_robt_case

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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16class_all9k_promptcor_23nov23_xlm_robt_case

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: 0.1020
Accuracy: 0.9787

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: 1e-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
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0707	1.0	1442	0.5981	0.8113
0.5897	2.0	2884	0.3605	0.8954
0.4212	3.0	4326	0.2835	0.9249
0.3463	4.0	5768	0.2020	0.9498
0.2749	5.0	7210	0.1751	0.9594
0.2336	6.0	8652	0.1298	0.9716
0.1906	7.0	10094	0.1186	0.9759
0.1458	8.0	11536	0.1020	0.9787

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0