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multilingual-e5-large-finetuned-IberAuTexTification2024-7030-4epo-task1-v2 – AI Model by vg055 | AlphaNeural AI
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multilingual-e5-large-finetuned-IberAuTexTification2024-7030-4epo-task1-v2
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transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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multilingual-e5-large-finetuned-IberAuTexTification2024-7030-4epo-task1-v2
This model is a fine-tuned version of
intfloat/multilingual-e5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1903
F1: 0.9662
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.1416
1.0
4798
0.3054
0.9350
0.088
2.0
9596
0.1850
0.9628
0.0376
3.0
14394
0.1903
0.9662
0.0127
4.0
19192
0.2281
0.9648
Framework versions
Transformers 4.28.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.13.3
