Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
e5_Eau_MultiLabel_Simple_v1 – AI Model by Ludo33 | AlphaNeural AI
You can deploy this model and start earning money today!
Ludo33
/
e5_Eau_MultiLabel_Simple_v1
like
0
transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
intfloat/multilingual-e5-large-instruct
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
e5_Eau_MultiLabel_Simple_v1
This model is a fine-tuned version of
intfloat/multilingual-e5-large-instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2282
F1 Weighted: 0.9103
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: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Weighted
0.5914
1.0
148
0.3093
0.8540
0.2559
2.0
296
0.2461
0.8949
0.164
3.0
444
0.2225
0.9039
0.1198
4.0
592
0.2282
0.9103
Framework versions
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
