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FULL-3epoch-XLMRoBERTa-finetuned-CEFR_ner-60000news – AI Model by DioBot2000 | AlphaNeural AI
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FULL-3epoch-XLMRoBERTa-finetuned-CEFR_ner-60000news
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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FULL-3epoch-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: 0.2571
Accuracy: 0.3011
Precision: 0.7306
Recall: 0.6846
F1: 0.5945
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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
0.9923
97
0.5290
0.2637
0.6408
0.5061
0.4053
No log
1.9949
195
0.2969
0.2962
0.7163
0.6474
0.5560
No log
2.9770
291
0.2571
0.3011
0.7306
0.6846
0.5945
Framework versions
Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1
