Downloads · 30 days
6
19% of all-time downloads
mistral7b_instruct_generation
4ndr3w/mistral7b_instruct_generation
mistral7b_instruct_generation is a machine learning model from 4ndr3w. 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
32
Public
Repo size
110 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors109 MB · 98%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 9, 2024
- Updated
- Feb 9, 2024
- SHA
- 864999c7
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. -->
mistral7b_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.8017
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8552 | 0.0 | 20 | 1.8246 |
| 1.9103 | 0.01 | 40 | 1.7950 |
| 1.8802 | 0.01 | 60 | 1.7918 |
| 1.7641 | 0.01 | 80 | 1.7952 |
| 1.8434 | 0.01 | 100 | 1.7969 |
| 1.8108 | 0.02 | 120 | 1.7955 |
| 1.8556 | 0.02 | 140 | 1.7928 |
| 1.8986 | 0.02 | 160 | 1.7948 |
| 1.8581 | 0.03 | 180 | 1.8270 |
| 1.7897 | 0.03 | 200 | 1.7943 |
| 1.7806 | 0.03 | 220 | 1.7922 |
| 1.8261 | 0.03 | 240 | 1.7956 |
| 1.8138 | 0.04 | 260 | 1.7988 |
| 1.8244 | 0.04 | 280 | 1.7902 |
| 1.8769 | 0.04 | 300 | 1.7977 |
| 1.896 | 0.04 | 320 | 1.7932 |
| 1.9111 | 0.05 | 340 | 1.7987 |
| 1.8624 | 0.05 | 360 | 1.7998 |
| 1.9663 | 0.05 | 380 | 1.7964 |
| 1.9383 | 0.06 | 400 | 1.7989 |
| 1.8478 | 0.06 | 420 | 1.7924 |
| 1.9117 | 0.06 | 440 | 1.7899 |
| 1.8742 | 0.06 | 460 | 1.7920 |
| 1.7778 | 0.07 | 480 | 1.8015 |
| 1.9523 | 0.07 | 500 | 1.8017 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- peft
- License
- apache-2.0
- Created
- Feb 9, 2024
- Updated
- Feb 9, 2024