ettin-map-1b-singlefold – AI Model by AceVikings | AlphaNeural AI

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AceVikings/
ettin-map-1b-singlefold

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text-classification

generated_from_trainer

jhu-clsp/ettin-encoder-1b

text-embeddings-inference

endpoints_compatible

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ettin-map-1b-singlefold

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: 0.2284
Accuracy: 0.9137
Map@3: 0.9559

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: 48
eval_batch_size: 48
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 192
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Map@3
4.65	0.5006	1000	0.3880	0.8524	0.9233
1.2856	1.0010	2000	0.3011	0.8845	0.9407
0.9807	1.5016	3000	0.2610	0.9029	0.9504
0.8878	2.0020	4000	0.2404	0.9085	0.9533
0.7293	2.5026	5000	0.2344	0.9118	0.9549
0.7067	3.0030	6000	0.2290	0.9140	0.9561
0.6482	3.5036	7000	0.2284	0.9137	0.9559

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1