Downloads · 30 days
7
19% of all-time downloads
cls_fomc_llama3_v3
Sorour/cls_fomc_llama3_v3
cls_fomc_llama3_v3 is a machine learning model from Sorour. 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. --
All-time downloads
36
Public
Repo size
671 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors336 MB · 97%
At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- May 26, 2024
- Updated
- May 26, 2024
- SHA
- 4dcd90c7
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. -->
cls_fomc_llama3_v3
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.6506
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6633 | 0.6723 | 20 | 0.6636 |
| 0.5372 | 1.3445 | 40 | 0.6506 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- May 26, 2024
- Updated
- May 26, 2024