Downloads · 30 days
3
3% of all-time downloads
Mistral-7B_task-2_120-samples_config-1_full_auto
GaetanMichelet/Mistral-7B_task-2_120-samples_config-1_full_auto
Mistral-7B_task-2_120-samples_config-1_full_auto is a machine learning model from GaetanMichelet. 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
92
Public
Repo size
2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors168 MB · 98%
At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Aug 25, 2024
- Updated
- Aug 25, 2024
- SHA
- 15693a75
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. -->
Mistral-7B_task-2_120-samples_config-1_full_auto
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-2_auto and the GaetanMichelet/chat-120_ft_task-2_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.7671
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.067 | 1.0 | 11 | 1.0423 |
| 0.8773 | 2.0 | 22 | 0.9271 |
| 0.781 | 3.0 | 33 | 0.8065 |
| 0.79 | 4.0 | 44 | 0.7790 |
| 0.7295 | 5.0 | 55 | 0.7671 |
| 0.6803 | 6.0 | 66 | 0.7684 |
| 0.6231 | 7.0 | 77 | 0.7836 |
| 0.5575 | 8.0 | 88 | 0.8163 |
| 0.452 | 9.0 | 99 | 0.8697 |
| 0.3535 | 10.0 | 110 | 0.9049 |
| 0.3253 | 11.0 | 121 | 0.9732 |
| 0.2393 | 12.0 | 132 | 1.0470 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- Aug 25, 2024
- Updated
- Aug 25, 2024