metadata
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: ncis
results: []
ncis
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3313
- Accuracy: 0.9060
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7319 | 1.0 | 19 | 1.0418 | 0.7350 |
| 0.0004 | 2.0 | 38 | 0.9800 | 0.7350 |
| 0.0003 | 3.0 | 57 | 5.5397 | 0.4615 |
| 0.0387 | 4.0 | 76 | 0.3313 | 0.9060 |
| 0.0001 | 5.0 | 95 | 2.5728 | 0.6752 |
| 0.0 | 6.0 | 114 | 5.2674 | 0.4957 |
| 0.0 | 7.0 | 133 | 5.1163 | 0.4957 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.19.1