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ZeroShot-3.3.23-Mistral-7b-Multilanguage-3.2.0
Weni/ZeroShot-3.3.23-Mistral-7b-Multilanguage-3.2.0
ZeroShot-3.3.23-Mistral-7b-Multilanguage-3.2.0 is a machine learning model from Weni. 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
- Model type
- mistral
- Access
- Public
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024
- SHA
- 2a5d59a9
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. -->
ZeroShot-3.3.23-Mistral-7b-Multilanguage-3.2.0
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3729
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5147 | 0.06 | 100 | 0.4746 |
| 0.4423 | 0.12 | 200 | 0.4329 |
| 0.4213 | 0.19 | 300 | 0.4190 |
| 0.4116 | 0.25 | 400 | 0.4106 |
| 0.3991 | 0.31 | 500 | 0.4045 |
| 0.3988 | 0.37 | 600 | 0.3982 |
| 0.4049 | 0.43 | 700 | 0.3936 |
| 0.3996 | 0.5 | 800 | 0.3888 |
| 0.3847 | 0.56 | 900 | 0.3852 |
| 0.3849 | 0.62 | 1000 | 0.3818 |
| 0.3796 | 0.68 | 1100 | 0.3783 |
| 0.3806 | 0.74 | 1200 | 0.3761 |
| 0.3716 | 0.81 | 1300 | 0.3744 |
| 0.369 | 0.87 | 1400 | 0.3735 |
| 0.3759 | 0.93 | 1500 | 0.3730 |
| 0.3717 | 0.99 | 1600 | 0.3729 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024