Downloads · 30 days
13
37% of all-time downloads
neo-2.7B-fine-same
KimByeongSu/neo-2.7B-fine-same
neo-2.7B-fine-same is a machine learning model from KimByeongSu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
35
Public
Parameters
2.7B
10.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors10.6 GB · 100%
At a glance
- License
- mit
- Model type
- gpt_neo
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024
- SHA
- ef5f6a00
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. -->
neo-2.7B-fine-same
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4347
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 |
|---|---|---|---|
| 2.5513 | 1.0 | 667 | 2.3899 |
| 2.0652 | 2.0 | 1334 | 2.3543 |
| 1.4399 | 3.0 | 2001 | 2.4347 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1
- Datasets 2.12.0
- Tokenizers 0.15.1
- Type
- gpt_neo
- License
- mit
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024