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e_care_COPA_xlm_roberta_large_finetuned – AI Model by Ariffiq99 | AlphaNeural AI
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Ariffiq99
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e_care_COPA_xlm_roberta_large_finetuned
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transformers
tensorboard
safetensors
xlm-roberta
multiple-choice
generated_from_trainer
Ariffiq99/COPA_xlm_roberta_base_finetuned
finetune
mit
endpoints_compatible
us
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e_care_COPA_xlm_roberta_large_finetuned
This model is a fine-tuned version of
Ariffiq99/COPA_xlm_roberta_base_finetuned
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5818
F1: 0.6744
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6938
1.0
933
0.6374
0.5999
0.6404
2.0
1866
0.6066
0.6329
0.62
3.0
2799
0.5958
0.6550
0.5887
4.0
3732
0.5867
0.6659
0.5705
5.0
4665
0.5818
0.6744
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
