FULL-12epoch-XLMRoBERTa-finetuned-CEFR_ner-60000news – AI Model by DioBot2000 | AlphaNeural AI

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DioBot2000/
FULL-12epoch-XLMRoBERTa-finetuned-CEFR_ner-60000news

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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FULL-12epoch-XLMRoBERTa-finetuned-CEFR_ner-60000news

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: 0.0687
Accuracy: 0.3222
Precision: 0.6358
Recall: 0.8475
F1: 0.6074

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.087	1.0	1563	0.0917	0.3188	0.7203	0.8273	0.6562
0.08	2.0	3126	0.0747	0.3204	0.7147	0.8331	0.6569
0.0666	3.0	4689	0.0691	0.3211	0.7195	0.8376	0.6624
0.0583	4.0	6252	0.0667	0.3213	0.6889	0.8419	0.6433
0.0514	5.0	7815	0.0650	0.3216	0.7043	0.8433	0.6543
0.0463	6.0	9378	0.0642	0.3219	0.6780	0.8444	0.6362
0.0421	7.0	10941	0.0635	0.3220	0.6759	0.8458	0.6354
0.0385	8.0	12504	0.0644	0.3220	0.6330	0.8470	0.6066
0.0358	9.0	14067	0.0670	0.3221	0.6368	0.8467	0.6068
0.0331	10.0	15630	0.0676	0.3222	0.6442	0.8468	0.6130
0.0309	11.0	17193	0.0680	0.3222	0.6377	0.8472	0.6092
0.0298	12.0	18756	0.0687	0.3222	0.6358	0.8475	0.6074

Framework versions

Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1