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xlm-roberta-base-cefr-all-classifier – AI Model by UniversalCEFR | AlphaNeural AI
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UniversalCEFR
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xlm-roberta-base-cefr-all-classifier
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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xlm-roberta-base-cefr-all-classifier
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1171
F1: 0.9529
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: 3.6e-05
train_batch_size: 2
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.1481
1.0
13623
0.1473
0.9416
0.1133
2.0
27246
0.1190
0.9486
0.0852
2.9998
40866
0.1171
0.9529
Framework versions
Transformers 4.51.0
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.21.0
