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Llama-31-8B_task-2_120-samples_config-3
GaetanMichelet/Llama-31-8B_task-2_120-samples_config-3
Llama-31-8B_task-2_120-samples_config-3 is a machine learning model from GaetanMichelet. 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Model type
- llama
- Access
- Public
- Created
- Aug 18, 2024
- Updated
- Aug 18, 2024
- SHA
- 3c72adad
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-31-8B_task-2_120-samples_config-3
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-2 and the GaetanMichelet/chat-120_ft_task-2 datasets. It achieves the following results on the evaluation set:
- Loss: 0.7139
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 150
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0459 | 1.0 | 11 | 1.1227 |
| 1.0223 | 2.0 | 22 | 1.1149 |
| 1.0795 | 3.0 | 33 | 1.1018 |
| 0.9982 | 4.0 | 44 | 1.0787 |
| 0.9702 | 5.0 | 55 | 1.0444 |
| 0.9509 | 6.0 | 66 | 0.9990 |
| 0.9573 | 7.0 | 77 | 0.9500 |
| 0.8624 | 8.0 | 88 | 0.9071 |
| 0.8804 | 9.0 | 99 | 0.8747 |
| 0.8515 | 10.0 | 110 | 0.8457 |
| 0.7864 | 11.0 | 121 | 0.8208 |
| 0.8648 | 12.0 | 132 | 0.8018 |
| 0.736 | 13.0 | 143 | 0.7867 |
| 0.7882 | 14.0 | 154 | 0.7728 |
| 0.7452 | 15.0 | 165 | 0.7604 |
| 0.6818 | 16.0 | 176 | 0.7485 |
| 0.7119 | 17.0 | 187 | 0.7387 |
| 0.7107 | 18.0 | 198 | 0.7307 |
| 0.6405 | 19.0 | 209 | 0.7238 |
| 0.6075 | 20.0 | 220 | 0.7188 |
| 0.6323 | 21.0 | 231 | 0.7152 |
| 0.557 | 22.0 | 242 | 0.7139 |
| 0.5692 | 23.0 | 253 | 0.7158 |
| 0.558 | 24.0 | 264 | 0.7198 |
| 0.5153 | 25.0 | 275 | 0.7296 |
| 0.4964 | 26.0 | 286 | 0.7367 |
| 0.4713 | 27.0 | 297 | 0.7403 |
| 0.4144 | 28.0 | 308 | 0.7620 |
| 0.4184 | 29.0 | 319 | 0.7954 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- llama
- License
- llama3.1
- Created
- Aug 18, 2024
- Updated
- Aug 18, 2024