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leomaurodesenv/
nli-MiniLM2-L6-H768-answerable-or-not

Name: nli-MiniLM2-L6-H768-answerable-or-not
Availability: InStock

generated_from_trainer

cross-encoder/nli-MiniLM2-L6-H768

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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nli-MiniLM2-L6-H768-answerable-or-not

This model is a fine-tuned version of cross-encoder/nli-MiniLM2-L6-H768 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0394
Accuracy: 0.9924

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_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_steps: 50
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1594	1.0	198	0.3216	0.9367
0.1780	2.0	396	0.0628	0.9873
0.0012	3.0	594	0.0394	0.9924
0.0020	4.0	792	0.0611	0.9924
0.0004	5.0	990	0.0801	0.9899
0.0003	6.0	1188	0.0631	0.9924

Framework versions

Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2

leomaurodesenv/nli-MiniLM2-L6-H768-answerable-or-not

nli-MiniLM2-L6-H768-answerable-or-not

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

leomaurodesenv/
nli-MiniLM2-L6-H768-answerable-or-not