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ettin_refine_balanced – AI Model by AceVikings | AlphaNeural AI
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AceVikings
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ettin_refine_balanced
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
jhu-clsp/ettin-encoder-1b
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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ettin_refine_balanced
This model is a fine-tuned version of
jhu-clsp/ettin-encoder-1b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2446
Accuracy: 0.9132
Map@3: 0.9555
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-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Map@3
0.343
1.7398
1000
0.2446
0.9132
0.9555
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
