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llama-3-8b-hf-ft-chat-lora
ytcheng/llama-3-8b-hf-ft-chat-lora
llama-3-8b-hf-ft-chat-lora 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 10, 2024
- SHA
- 63b873ce
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. -->
llama-3-8b-hf-ft-chat-lora
This model is a fine-tuned version of ytcheng/llama-3-8b-hf-sm-lora-merged on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2919
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.668 | 0.9959 | 121 | 1.6440 |
| 1.3927 | 2.0 | 243 | 1.3922 |
| 1.2658 | 2.9959 | 364 | 1.3038 |
| 1.1749 | 3.9835 | 484 | 1.2919 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- May 6, 2024
- Updated
- May 10, 2024