Downloads · 30 days
27
49% of all-time downloads
MentaLLaMA-chat-7B-PsyCourse-doc-info-fold2
chchen/MentaLLaMA-chat-7B-PsyCourse-doc-info-fold2
MentaLLaMA-chat-7B-PsyCourse-doc-info-fold2 is a machine learning model from chchen. 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 mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
55
Public
Repo size
1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors80 MB · 95%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 2, 2025
- Updated
- May 2, 2025
- SHA
- 75ac31f4
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. -->
MentaLLaMA-chat-7B-PsyCourse-doc-info-fold2
This model is a fine-tuned version of klyang/MentaLLaMA-chat-7B-hf on the course-doc-info-train-fold2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0908
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3885 | 0.3951 | 10 | 0.4344 |
| 0.2237 | 0.7901 | 20 | 0.2676 |
| 0.1832 | 1.1852 | 30 | 0.1873 |
| 0.1462 | 1.5802 | 40 | 0.1591 |
| 0.1137 | 1.9753 | 50 | 0.1337 |
| 0.0833 | 2.3704 | 60 | 0.1186 |
| 0.0996 | 2.7654 | 70 | 0.1070 |
| 0.0826 | 3.1605 | 80 | 0.0994 |
| 0.07 | 3.5556 | 90 | 0.0944 |
| 0.061 | 3.9506 | 100 | 0.0919 |
| 0.0597 | 4.3457 | 110 | 0.0912 |
| 0.0841 | 4.7407 | 120 | 0.0908 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- License
- mit
- Created
- May 2, 2025
- Updated
- May 2, 2025