Downloads · 30 days
2
8% of all-time downloads
Mistral-7B_task-3_120-samples_config-2_full_auto
GaetanMichelet/Mistral-7B_task-3_120-samples_config-2_full_auto
Mistral-7B_task-3_120-samples_config-2_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
24
Public
Repo size
2.5 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 26, 2024
- Updated
- Aug 26, 2024
- SHA
- a472be8f
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-3_120-samples_config-2_full_auto
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-3_auto and the GaetanMichelet/chat-120_ft_task-3_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.8521
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: 16
- 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.246 | 0.9091 | 5 | 1.1940 |
| 1.1422 | 2.0 | 11 | 1.0793 |
| 1.0294 | 2.9091 | 16 | 1.0066 |
| 0.8899 | 4.0 | 22 | 0.9020 |
| 0.8298 | 4.9091 | 27 | 0.8737 |
| 0.7997 | 6.0 | 33 | 0.8607 |
| 0.7828 | 6.9091 | 38 | 0.8527 |
| 0.7537 | 8.0 | 44 | 0.8521 |
| 0.701 | 8.9091 | 49 | 0.8577 |
| 0.6948 | 10.0 | 55 | 0.8667 |
| 0.622 | 10.9091 | 60 | 0.8851 |
| 0.542 | 12.0 | 66 | 0.9304 |
| 0.4829 | 12.9091 | 71 | 0.9685 |
| 0.4214 | 14.0 | 77 | 1.0037 |
| 0.314 | 14.9091 | 82 | 1.0333 |
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 26, 2024
- Updated
- Aug 26, 2024