Downloads · 30 days
7
30% of all-time downloads
ZeroShot-3.3.10-Mistral-7b-Multilanguage-3.2.0
Weni/ZeroShot-3.3.10-Mistral-7b-Multilanguage-3.2.0
ZeroShot-3.3.10-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. --
All-time downloads
23
Public
Parameters
7.2B
21.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.9 GB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024
- SHA
- ebc3b826
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-3.3.10-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: 0.3279
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: 2
- 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 |
|---|---|---|---|
| 0.4535 | 0.06 | 100 | 0.4501 |
| 0.4348 | 0.12 | 200 | 0.4460 |
| 0.4234 | 0.19 | 300 | 0.4328 |
| 0.4152 | 0.25 | 400 | 0.4249 |
| 0.4042 | 0.31 | 500 | 0.4163 |
| 0.3933 | 0.37 | 600 | 0.4057 |
| 0.4014 | 0.43 | 700 | 0.3941 |
| 0.3837 | 0.5 | 800 | 0.3847 |
| 0.3689 | 0.56 | 900 | 0.3744 |
| 0.3529 | 0.62 | 1000 | 0.3635 |
| 0.3413 | 0.68 | 1100 | 0.3531 |
| 0.3476 | 0.74 | 1200 | 0.3435 |
| 0.3353 | 0.81 | 1300 | 0.3355 |
| 0.3283 | 0.87 | 1400 | 0.3306 |
| 0.3133 | 0.93 | 1500 | 0.3286 |
| 0.323 | 0.99 | 1600 | 0.3279 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024