Downloads · 30 days
6
43% of all-time downloads
FPT_FineTune_v1.0-adapters-v2
AmeerH/FPT_FineTune_v1.0-adapters-v2
FPT_FineTune_v1.0-adapters-v2 is a machine learning model from AmeerH. 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
14
Public
Repo size
467 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin251 MB · 54%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024
- SHA
- fafe95b0
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. -->
FPT_FineTune_v1.0-adapters-v2
This model is a fine-tuned version of AmeerH/FPT-Base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9203
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9156 | 0.5030 | 500 | 0.9203 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024