Downloads · 30 days
8
35% of all-time downloads
Danube_finetuned
GoingLong77/Danube_finetuned
Danube_finetuned is a machine learning model from GoingLong77. 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
23
Public
Repo size
1.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors6.4 MB · 77%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 1, 2024
- Updated
- Sep 2, 2024
- SHA
- 99e5f455
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. -->
Danube_finetuned
This model is a fine-tuned version of h2oai/h2o-danube-1.8b-chat on an unknown dataset.
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Sep 1, 2024
- Updated
- Sep 2, 2024