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ministral-3b-instruct-mimic4-adapt-l2r
deb101/ministral-3b-instruct-mimic4-adapt-l2r
ministral-3b-instruct-mimic4-adapt-l2r is a text generation model from deb101. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- May 15, 2025
- Updated
- May 27, 2025