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finetuned-ce-financial-hf – AI Model by RyuuZT | AlphaNeural AI
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finetuned-ce-financial-hf
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuned-ce-financial-hf
This model is a fine-tuned version of
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1054
F1: 0.0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5040
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.1479
1.0
1050
0.5664
0.0
0.0973
2.0
2100
0.3626
0.0
0.0867
3.0
3150
0.1444
0.0
0.0795
4.0
4200
0.1663
0.0
0.076
5.0
5250
0.1054
0.0
0.059
6.0
6300
0.1137
0.0
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
