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lex-cross-encoder-mbert-5neg-no-eval – AI Model by LexcentraAI | AlphaNeural AI
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lex-cross-encoder-mbert-5neg-no-eval
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safetensors
bert
generated_from_trainer
microsoft/mdeberta-v3-base
finetune
mit
us
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lex-cross-encoder-mdeberta-v3-base-5neg
This model is a fine-tuned version of
microsoft/mdeberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6811
Precision: 0.2
Recall: 1.0
F2: 0.5556
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: 1e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F2
0.7455
1.0
1
0.6810
0.2
1.0
0.5556
0.7455
2.0
2
0.6811
0.2
1.0
0.5556
Framework versions
Transformers 4.39.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.15.2
