metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-journal-finetune
results: []
mistral-journal-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: 1.7152
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4632 | 1.0870 | 25 | 0.8646 |
| 0.6844 | 2.1739 | 50 | 0.8295 |
| 0.3071 | 3.2609 | 75 | 0.8981 |
| 0.2151 | 4.3478 | 100 | 0.9571 |
| 0.1535 | 5.4348 | 125 | 1.0427 |
| 0.1188 | 6.5217 | 150 | 1.2999 |
| 0.1234 | 7.6087 | 175 | 1.1580 |
| 0.1023 | 8.6957 | 200 | 1.4546 |
| 0.0956 | 9.7826 | 225 | 1.4925 |
| 0.0915 | 10.8696 | 250 | 1.5539 |
| 0.0892 | 11.9565 | 275 | 1.5340 |
| 0.0873 | 13.0435 | 300 | 1.5638 |
| 0.0805 | 14.1304 | 325 | 1.5932 |
| 0.0816 | 15.2174 | 350 | 1.6178 |
| 0.0791 | 16.3043 | 375 | 1.6719 |
| 0.0799 | 17.3913 | 400 | 1.6869 |
| 0.0775 | 18.4783 | 425 | 1.6920 |
| 0.08 | 19.5652 | 450 | 1.6984 |
| 0.0737 | 20.6522 | 475 | 1.7132 |
| 0.0797 | 21.7391 | 500 | 1.7152 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1