metadata
base_model: unsloth/mistral-7b-v0.3-bnb-4bit
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Mistral-7B-v0.3_magiccoder_reverse
results: []
Mistral-7B-v0.3_magiccoder_reverse
This model is a fine-tuned version of unsloth/mistral-7b-v0.3-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.2545
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6277 | 0.0262 | 4 | 2.6769 |
| 9.6471 | 0.0523 | 8 | 9.0033 |
| 10.5155 | 0.0785 | 12 | 8.9102 |
| 8.2554 | 0.1047 | 16 | 8.4103 |
| 7.9575 | 0.1308 | 20 | 7.8467 |
| 7.7793 | 0.1570 | 24 | 7.7779 |
| 7.8343 | 0.1832 | 28 | 7.8376 |
| 7.7751 | 0.2093 | 32 | 7.7518 |
| 7.7596 | 0.2355 | 36 | 7.8731 |
| 7.8576 | 0.2617 | 40 | 7.7542 |
| 7.8192 | 0.2878 | 44 | 7.6664 |
| 7.6969 | 0.3140 | 48 | 7.6550 |
| 7.6456 | 0.3401 | 52 | 7.6300 |
| 7.5219 | 0.3663 | 56 | 7.5777 |
| 7.5785 | 0.3925 | 60 | 7.5343 |
| 7.5603 | 0.4186 | 64 | 7.5427 |
| 7.6511 | 0.4448 | 68 | 7.4908 |
| 7.5751 | 0.4710 | 72 | 7.4379 |
| 7.5561 | 0.4971 | 76 | 7.5841 |
| 7.4865 | 0.5233 | 80 | 7.5991 |
| 7.4538 | 0.5495 | 84 | 7.4216 |
| 7.4582 | 0.5756 | 88 | 7.3826 |
| 7.5413 | 0.6018 | 92 | 7.3876 |
| 7.4509 | 0.6280 | 96 | 7.3721 |
| 7.4923 | 0.6541 | 100 | 7.4695 |
| 7.365 | 0.6803 | 104 | 7.4247 |
| 7.3943 | 0.7065 | 108 | 7.3939 |
| 7.3449 | 0.7326 | 112 | 7.3569 |
| 7.2922 | 0.7588 | 116 | 7.3034 |
| 7.3824 | 0.7850 | 120 | 7.2675 |
| 7.4081 | 0.8111 | 124 | 7.3202 |
| 7.3249 | 0.8373 | 128 | 7.2621 |
| 7.3576 | 0.8635 | 132 | 7.2639 |
| 7.2845 | 0.8896 | 136 | 7.2773 |
| 7.2098 | 0.9158 | 140 | 7.2565 |
| 7.2525 | 0.9419 | 144 | 7.2417 |
| 7.2333 | 0.9681 | 148 | 7.2520 |
| 7.2556 | 0.9943 | 152 | 7.2545 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1