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fine_tuning_llama_3
Lxt115/fine_tuning_llama_3
fine_tuning_llama_3 is a machine learning model from Lxt115. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jul 22, 2024
Repo size
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At a glance
- License
- llama2
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024
- SHA
- e8a83d81
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. -->
fine_tuning_llama_4
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the knkarthick/dialogsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.1296
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 0.05
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9863 | 1.0 | 78 | 1.1460 |
| 1.0109 | 2.0 | 156 | 1.1343 |
| 0.9011 | 3.0 | 234 | 1.1301 |
| 0.9703 | 4.0 | 312 | 1.1296 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- License
- llama2
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024