metadata
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: []
mistral-7b-instruct-v0.3-mimic4-adapt-l2r
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: -289695770057323328.0000
- Ndcg: 0.9560
- Ndcg@25: 0.6207
- Precision@25: 0.2464
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Ndcg | Ndcg@25 | Precision@25 |
|---|---|---|---|---|---|---|
| -824219259923909888.0000 | 1.0 | 44 | -120189777058411312.0000 | 0.9555 | 0.2126 | 0.0 |
| -91157196780129488.0000 | 1.9711 | 86 | -289695770057323328.0000 | 0.9560 | 0.6207 | 0.2464 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.21.1