Downloads · 30 days
4
20% of all-time downloads
2nd_finetune
Dang-gu/2nd_finetune
2nd_finetune is a machine learning model from Dang-gu. 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 bigcode-openrail-m.
should probably proofread and complete it, then remove this comment. --
All-time downloads
20
Public
Repo size
9.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors18.2 MB · 85%
At a glance
- Library
- peft
- License
- bigcode-openrail-m
- Access
- Public
- Created
- May 21, 2024
- Updated
- May 21, 2024
- SHA
- a47a9945
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. -->
2nd_finetune
This model is a fine-tuned version of bigcode/starcoder2-3b 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 0
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- training_steps: 10000
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.40.0
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- bigcode-openrail-m
- Created
- May 21, 2024
- Updated
- May 21, 2024