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Twitter_mistral
cmy246437/Twitter_mistral
Twitter_mistral is a machine learning model from cmy246437. 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
- Nov 3, 2024
- Updated
- Nov 4, 2024
- SHA
- e8bb6f04
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. -->
Twitter_mistral
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0107
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: 0.0002
- 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: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0584 | 1.0 | 300 | 0.0404 |
| 0.021 | 2.0 | 600 | 0.0124 |
| 0.0127 | 3.0 | 900 | 0.0107 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.0.0+cu117
- Datasets 3.0.1
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Nov 3, 2024
- Updated
- Nov 4, 2024