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Mixtral_Alpace_v2
AKM15/Mixtral_Alpace_v2
Mixtral_Alpace_v2 is a machine learning model from AKM15. 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
- Feb 18, 2024
- Updated
- Feb 18, 2024
- SHA
- 55b771d1
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
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.9305
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: 16
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9484 | 1.0 | 268 | 0.9594 |
| 0.9218 | 2.0 | 536 | 0.9361 |
| 0.8898 | 3.0 | 804 | 0.9281 |
| 0.8719 | 4.0 | 1072 | 0.9281 |
| 0.833 | 5.0 | 1340 | 0.9305 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Feb 18, 2024
- Updated
- Feb 18, 2024