Downloads · 30 days
7
18% of all-time downloads
ZeroShot-3.3.26-Mistral-7b-Multilanguage-3.2.0
Weni/ZeroShot-3.3.26-Mistral-7b-Multilanguage-3.2.0
ZeroShot-3.3.26-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
39
Public
Parameters
7.2B
16.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.9 GB · 96%
At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024
- SHA
- 5ace37e4
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-3.3.26-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: 0.0434
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 |
|---|---|---|---|
| 0.1164 | 0.06 | 100 | 0.1037 |
| 0.1355 | 0.12 | 200 | 0.1051 |
| 0.1015 | 0.19 | 300 | 0.1142 |
| 0.1026 | 0.25 | 400 | 0.0992 |
| 0.1002 | 0.31 | 500 | 0.1083 |
| 0.0879 | 0.37 | 600 | 0.0894 |
| 0.0778 | 0.43 | 700 | 0.0907 |
| 0.0836 | 0.5 | 800 | 0.0747 |
| 0.0642 | 0.56 | 900 | 0.0645 |
| 0.0496 | 0.62 | 1000 | 0.0709 |
| 0.06 | 0.68 | 1100 | 0.0603 |
| 0.0614 | 0.74 | 1200 | 0.0567 |
| 0.0538 | 0.81 | 1300 | 0.0478 |
| 0.0524 | 0.87 | 1400 | 0.0449 |
| 0.0323 | 0.93 | 1500 | 0.0439 |
| 0.0498 | 0.99 | 1600 | 0.0434 |
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 5, 2024
- Updated
- Mar 5, 2024