metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: mistral-json-finetune
results: []
mistral-json-finetune
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3730
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2986 | 0.57 | 50 | 0.6897 |
| 0.4469 | 1.14 | 100 | 0.4239 |
| 0.2978 | 1.71 | 150 | 0.3497 |
| 0.2279 | 2.29 | 200 | 0.3126 |
| 0.1869 | 2.86 | 250 | 0.2858 |
| 0.137 | 3.43 | 300 | 0.2848 |
| 0.1221 | 4.0 | 350 | 0.2713 |
| 0.0918 | 4.57 | 400 | 0.2750 |
| 0.0832 | 5.14 | 450 | 0.2781 |
| 0.0681 | 5.71 | 500 | 0.2807 |
| 0.055 | 6.29 | 550 | 0.2902 |
| 0.0515 | 6.86 | 600 | 0.2746 |
| 0.0463 | 7.43 | 650 | 0.3078 |
| 0.0421 | 8.0 | 700 | 0.2971 |
| 0.0354 | 8.57 | 750 | 0.3196 |
| 0.0276 | 9.14 | 800 | 0.3490 |
| 0.0281 | 9.71 | 850 | 0.3411 |
| 0.026 | 10.29 | 900 | 0.3658 |
| 0.0241 | 10.86 | 950 | 0.3661 |
| 0.0209 | 11.43 | 1000 | 0.3730 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0