Downloads · 30 days
5
31% of all-time downloads
remote_sensing_gpt_expt3
gremlin97/remote_sensing_gpt_expt3
remote_sensing_gpt_expt3 is a machine learning model from gremlin97. 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 bigscience-bloom-rail-1.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
16
Public
Repo size
71.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json14.5 MB · 61%
At a glance
- Library
- peft
- License
- bigscience-bloom-rail-1.0
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024
- SHA
- d707df24
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. -->
remote_sensing_gpt_expt3
This model is a fine-tuned version of bigscience/bloom-1b1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5329
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6537 | 1.0 | 938 | 3.5610 |
| 3.5147 | 2.0 | 1876 | 3.5383 |
| 3.4804 | 3.0 | 2814 | 3.5329 |
Framework versions
- PEFT 0.9.0
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- License
- bigscience-bloom-rail-1.0
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024