ministral-3b-instruct-mimic4-adapt-l2r – AI Model by deb101 | AlphaNeural AI

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deb101/
ministral-3b-instruct-mimic4-adapt-l2r

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text-generation

generated_from_trainer

ministral/Ministral-3b-instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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ministral-3b-instruct-mimic4-adapt-l2r

This model is a fine-tuned version of ministral/Ministral-3b-instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: -545681554523036992.0000
Ndcg: 0.9570
Ndcg@25: 0.9025
Precision@25: 0.9120

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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Ndcg	Ndcg@25	Precision@25
-5233964739674190848.0000	1.0	44	-522964517807628544.0000	0.9567	0.9340	0.9429
-213567145714384896.0000	2.0	88	-527819484207438720.0000	0.9568	0.9212	0.9497
-595173120794217728.0000	2.9480	129	-545681554523036992.0000	0.9570	0.9025	0.9120

Framework versions

Transformers 4.49.0
Pytorch 2.6.0
Datasets 3.6.0
Tokenizers 0.21.1