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Mistral-7B-v0.1_AviationQA
frankmorales2020/Mistral-7B-v0.1_AviationQA
Mistral-7B-v0.1_AviationQA is a machine learning model from frankmorales2020. 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
- Jun 9, 2024
- Updated
- Mar 5, 2025
- SHA
- 45a978d3
Base models
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. -->
Mistral-7B-v0.1_AviationQA
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 10.2218
- Bleu: 0.3549
- Rougel: 0.4821
- F1: 0.0005
- Perplexity: 30611.9414
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rougel | F1 | Perplexity |
|---|---|---|---|---|---|---|---|
| 10.2565 | 1.0 | 25 | 10.2347 | 0.2507 | 0.3703 | 0.0009 | 29825.1777 |
| 10.1919 | 2.0 | 50 | 10.2232 | 0.3097 | 0.4539 | 0.0008 | 30276.8613 |
| 10.1739 | 3.0 | 75 | 10.2218 | 0.3549 | 0.4821 | 0.0005 | 30611.9414 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Jun 9, 2024
- Updated
- Mar 5, 2025