Downloads · 30 days
0
llama-text-simplification
williamplacroix/llama-text-simplification
llama-text-simplification is a machine learning model from williamplacroix. 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.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Oct 26, 2024
Repo size
9.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin8 GB · 100%
At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 26, 2024
- SHA
- 4df8393b
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-text-simplification
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0017
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: 1e-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 |
|---|---|---|---|
| 1.1586 | 1.0 | 1326 | 1.0744 |
| 1.0208 | 2.0 | 2652 | 1.0273 |
| 0.9769 | 3.0 | 3978 | 1.0112 |
| 0.947 | 4.0 | 5304 | 1.0038 |
| 0.9234 | 5.0 | 6630 | 1.0017 |
Framework versions
- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Oct 24, 2024
- Updated
- Oct 26, 2024