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: 1.5884
- Accuracy: 0.8205
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 19 | 4.9428 | 0.4786 |
| No log | 2.0 | 38 | 4.6067 | 0.6325 |
| No log | 3.0 | 57 | 1.0003 | 0.8632 |
| No log | 4.0 | 76 | 1.4983 | 0.8376 |
| No log | 5.0 | 95 | 1.5749 | 0.8291 |
| No log | 6.0 | 114 | 1.5852 | 0.8205 |
| No log | 7.0 | 133 | 1.5872 | 0.8205 |
| No log | 8.0 | 152 | 1.5881 | 0.8205 |
| No log | 9.0 | 171 | 1.5883 | 0.8205 |
| No log | 10.0 | 190 | 1.5884 | 0.8205 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.19.1