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llama-3-86-lora-pretrain_v2
ytcheng/llama-3-86-lora-pretrain_v2
llama-3-86-lora-pretrain_v2 is a machine learning model from ytcheng. 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. --
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At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- May 19, 2024
- Updated
- May 19, 2024
- SHA
- 9653e8fd
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-3-86-lora-pretrain_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the sm_artile dataset. It achieves the following results on the evaluation set:
- Loss: 2.2353
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8142 | 0.1877 | 100 | 2.8566 |
| 2.7235 | 0.3755 | 200 | 2.6776 |
| 2.5809 | 0.5632 | 300 | 2.5664 |
| 2.3971 | 0.7510 | 400 | 2.4458 |
| 2.4147 | 0.9387 | 500 | 2.3812 |
| 2.3987 | 1.1265 | 600 | 2.3436 |
| 2.3 | 1.3142 | 700 | 2.3193 |
| 2.3219 | 1.5020 | 800 | 2.2951 |
| 2.377 | 1.6897 | 900 | 2.2763 |
| 2.2977 | 1.8775 | 1000 | 2.2623 |
| 2.269 | 2.0652 | 1100 | 2.2525 |
| 2.2305 | 2.2530 | 1200 | 2.2442 |
| 2.3866 | 2.4407 | 1300 | 2.2396 |
| 2.3217 | 2.6285 | 1400 | 2.2369 |
| 2.2007 | 2.8162 | 1500 | 2.2355 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- May 19, 2024
- Updated
- May 19, 2024