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multilingual-e5-base-ling-cls – AI Model by CeroShrijver | AlphaNeural AI
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CeroShrijver
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multilingual-e5-base-ling-cls
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transformers
pytorch
xlm-roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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multilingual-e5-base-ling-cls
This model is a fine-tuned version of
intfloat/multilingual-e5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9649
Accuracy: 0.7679
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: 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
Accuracy
0.527
1.0
1009
0.5061
0.7848
0.4486
2.0
2018
0.5401
0.7879
0.3367
3.0
3027
0.6304
0.7783
0.2428
4.0
4036
0.7793
0.7705
0.1649
5.0
5045
0.9649
0.7679
Framework versions
Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.11.6
