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baseline_nli_xlmr_base_zero_shot – AI Model by jalaluddin94 | AlphaNeural AI
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baseline_nli_xlmr_base_zero_shot
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transformers
pytorch
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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baseline_nli_xlmr_base_zero_shot
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.1086
eval_accuracy: 0.2918
eval_precision: 0.2918
eval_recall: 0.2918
eval_f1_score: 0.1318
eval_runtime: 44.4438
eval_samples_per_second: 49.433
eval_steps_per_second: 4.14
step: 0
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: 3e-06
train_batch_size: 12
eval_batch_size: 12
seed: 101
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
Framework versions
Transformers 4.32.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3