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pretrain_output – AI Model by violet371215 | AlphaNeural AI
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pretrain_output
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transformers
pytorch
pairwise-biencoder-classifier
text-classification
generated_from_trainer
endpoints_compatible
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pretrain_output
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0143
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: 5e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
1.2649
1.0
719
1.0826
1.0881
2.0
1438
1.0651
1.0678
3.0
2157
1.0513
1.0453
4.0
2876
1.0143
1.0453
4.0
2876
1.0143
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 3.6.0
Tokenizers 0.22.2
