Downloads · 30 days
4
14% of all-time downloads
llama_hw_0817
LINGWAN/llama_hw_0817
llama_hw_0817 is a machine learning model from LINGWAN. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
28
Public
Parameters
67M
1.3 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024
- SHA
- 98c1112c
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. -->
llama_hw_0817
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8514
- Matthews Correlation: 0.5338
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5177 | 1.0 | 535 | 0.4538 | 0.4414 |
| 0.3464 | 2.0 | 1070 | 0.4767 | 0.4929 |
| 0.2338 | 3.0 | 1605 | 0.6392 | 0.5073 |
| 0.1729 | 4.0 | 2140 | 0.8508 | 0.5126 |
| 0.1294 | 5.0 | 2675 | 0.8514 | 0.5338 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024