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mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.3 – AI Model by 61347023S | AlphaNeural AI
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61347023S
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mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.3
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pytorch
deberta-v2
generated_from_trainer
asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0
finetune
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mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.3
This model is a fine-tuned version of
asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.4780
eval_f1_macro: 0.8407
eval_f1_micro: 0.8429
eval_accuracy_balanced: 0.8388
eval_accuracy: 0.8429
eval_precision_macro: 0.8473
eval_recall_macro: 0.8388
eval_precision_micro: 0.8429
eval_recall_micro: 0.8429
eval_runtime: 59.812
eval_samples_per_second: 126.346
eval_steps_per_second: 1.003
epoch: 0.0
step: 4
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: 128
seed: 40
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3
Framework versions
Transformers 4.33.3
Pytorch 2.5.1+cu121
Datasets 2.14.7
Tokenizers 0.13.3
