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Mixtral_Alpace_v2_NIKI
vanherzog/Mixtral_Alpace_v2_NIKI
Mixtral_Alpace_v2_NIKI is a machine learning model from vanherzog. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 25, 2024
- Updated
- May 3, 2024
- SHA
- 279eb548
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Mixtral_Alpace_v2_NIKI
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.1688
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: 8
- 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: 0.03
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3725 | 0.0606 | 10 | 1.3384 |
| 1.339 | 0.1212 | 20 | 1.3260 |
| 1.3448 | 0.1818 | 30 | 1.3121 |
| 1.2777 | 0.2424 | 40 | 1.2984 |
| 1.3067 | 0.3030 | 50 | 1.2853 |
| 1.2674 | 0.3636 | 60 | 1.2723 |
| 1.2842 | 0.4242 | 70 | 1.2610 |
| 1.2835 | 0.4848 | 80 | 1.2505 |
| 1.2688 | 0.5455 | 90 | 1.2406 |
| 1.2892 | 0.6061 | 100 | 1.2315 |
| 1.2565 | 0.6667 | 110 | 1.2236 |
| 1.2145 | 0.7273 | 120 | 1.2163 |
| 1.2297 | 0.7879 | 130 | 1.2101 |
| 1.2406 | 0.8485 | 140 | 1.2042 |
| 1.2146 | 0.9091 | 150 | 1.1986 |
| 1.2386 | 0.9697 | 160 | 1.1940 |
| 1.1929 | 1.0303 | 170 | 1.1899 |
| 1.2036 | 1.0909 | 180 | 1.1869 |
| 1.181 | 1.1515 | 190 | 1.1837 |
| 1.201 | 1.2121 | 200 | 1.1812 |
| 1.1965 | 1.2727 | 210 | 1.1786 |
| 1.2084 | 1.3333 | 220 | 1.1765 |
| 1.2097 | 1.3939 | 230 | 1.1746 |
| 1.176 | 1.4545 | 240 | 1.1727 |
| 1.1757 | 1.5152 | 250 | 1.1715 |
| 1.1977 | 1.5758 | 260 | 1.1705 |
| 1.1686 | 1.6364 | 270 | 1.1701 |
| 1.1679 | 1.6970 | 280 | 1.1694 |
| 1.1779 | 1.7576 | 290 | 1.1690 |
| 1.179 | 1.8182 | 300 | 1.1688 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Apr 25, 2024
- Updated
- May 3, 2024