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xlm-roberta-large-finetuned-ours-DS – AI Model by IIIT-L | AlphaNeural AI
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IIIT-L
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xlm-roberta-large-finetuned-ours-DS
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transformers
pytorch
xlm-roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-finetuned-ours-DS
This model is a fine-tuned version of
xlm-roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9568
Accuracy: 0.71
Precision: 0.6689
Recall: 0.6607
F1: 0.6637
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: 1.6820964947491663e-05
train_batch_size: 16
eval_batch_size: 16
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.9953
1.99
199
0.7955
0.66
0.7533
0.5971
0.5352
0.6638
3.98
398
0.8043
0.735
0.7068
0.6782
0.6846
0.3457
5.97
597
0.9568
0.71
0.6689
0.6607
0.6637
Framework versions
Transformers 4.20.1
Pytorch 1.10.1+cu111
Datasets 2.3.2
Tokenizers 0.12.1
