metadata
library_name: peft
license: apache-2.0
base_model: ministral/Ministral-3b-instruct
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ministral-3b-instruct-mimic4-adapt
results: []
ministral-3b-instruct-mimic4-adapt
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: 2.2631
- Model Preparation Time: 0.0126
- Accuracy: 0.5672
- Perplexity: 9.6125
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: 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 | Model Preparation Time | Accuracy | Perplexity |
|---|---|---|---|---|---|---|
| 2.3634 | 1.0 | 30565 | 2.3471 | 0.0126 | 0.5535 | 10.4554 |
| 2.381 | 2.0 | 61130 | 2.2835 | 0.0126 | 0.5619 | 9.8107 |
| 2.3067 | 2.9999 | 91692 | 2.2631 | 0.0126 | 0.5672 | 9.6125 |
Framework versions
- PEFT 0.15.2
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.21.1