---
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
tags:
- generated_from_trainer
model-index:
- name: mistral-7b-instruct-v0.3-mimic4-adapt-l2r
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-7b-instruct-v0.3-mimic4-adapt-l2r

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: -411510899264896576.0000
- Ndcg: 0.9569
- Ndcg@25: 0.7163
- Precision@25: 0.6126

## 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 |
|:-------------------------:|:------:|:----:|:------------------------:|:------:|:-------:|:------------:|
| -6865760941572830208.0000 | 1.0    | 44   | -240602318374661568.0000 | 0.9563 | 0.4422  | 0.2214       |
| -170364640055577792.0000  | 2.0    | 88   | -380035817867927296.0000 | 0.9569 | 0.7741  | 0.4871       |
| -458167182489026560.0000  | 2.9480 | 129  | -411510899264896576.0000 | 0.9569 | 0.7163  | 0.6126       |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1