Downloads · 30 days
7
0% of all-time downloads
llama381binstruct_summarize_short
jet-taekyo/llama381binstruct_summarize_short
llama381binstruct_summarize_short is a machine learning model from jet-taekyo. 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
All-time downloads
3.4K
Public
Repo size
168 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors168 MB · 95%
At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024
- SHA
- 699aac48
Base models
Datasets
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. -->
llama381binstruct_summarize_short
This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.7246
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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6112 | 1.3158 | 25 | 1.7992 |
| 0.6741 | 2.6316 | 50 | 1.7747 |
| 0.3505 | 3.9474 | 75 | 1.9947 |
| 0.1547 | 5.2632 | 100 | 2.1137 |
| 0.0774 | 6.5789 | 125 | 2.3832 |
| 0.0442 | 7.8947 | 150 | 2.3367 |
| 0.0248 | 9.2105 | 175 | 2.4727 |
| 0.0099 | 10.5263 | 200 | 2.4560 |
| 0.0068 | 11.8421 | 225 | 2.4597 |
| 0.0095 | 13.1579 | 250 | 2.6002 |
| 0.0115 | 14.4737 | 275 | 2.5425 |
| 0.006 | 15.7895 | 300 | 2.5267 |
| 0.0037 | 17.1053 | 325 | 2.5943 |
| 0.002 | 18.4211 | 350 | 2.6541 |
| 0.002 | 19.7368 | 375 | 2.6837 |
| 0.0024 | 21.0526 | 400 | 2.7007 |
| 0.0016 | 22.3684 | 425 | 2.7118 |
| 0.002 | 23.6842 | 450 | 2.7192 |
| 0.0017 | 25.0 | 475 | 2.7232 |
| 0.0017 | 26.3158 | 500 | 2.7246 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.1
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024