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Mistral-7B-v0.1-lora-text-classification
jmeneu/Mistral-7B-v0.1-lora-text-classification
Mistral-7B-v0.1-lora-text-classification is a machine learning model from jmeneu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Dec 5, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 3, 2023
- Updated
- Dec 5, 2023
- SHA
- bf64b4ee
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. -->
Mistral-7B-v0.1-lora-text-classification
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 7.4068
- Accuracy: {'accuracy': 0.9338}
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: 0.01
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 57.25 | 1.0 | 5000 | 9.4656 | {'accuracy': 0.9292} |
| 0.0 | 2.0 | 10000 | 8.0567 | {'accuracy': 0.9384} |
| 0.0 | 3.0 | 15000 | 7.4068 | {'accuracy': 0.9338} |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.4.0
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Dec 3, 2023
- Updated
- Dec 5, 2023