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xlm-roberta-base-finetuned-non-code-mixed-DS – AI Model by IIIT-L | AlphaNeural AI
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IIIT-L
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xlm-roberta-base-finetuned-non-code-mixed-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-base-finetuned-non-code-mixed-DS
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1771
Accuracy: 0.6365
Precision: 0.6252
Recall: 0.6242
F1: 0.6242
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
0.9475
2.0
926
0.8620
0.6278
0.6197
0.6042
0.6081
0.6661
3.99
1852
0.9578
0.6451
0.6356
0.6281
0.6301
0.4457
5.99
2778
1.1771
0.6365
0.6252
0.6242
0.6242
Framework versions
Transformers 4.20.1
Pytorch 1.10.1+cu111
Datasets 2.3.2
Tokenizers 0.12.1
