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Llama-31-8B_task-1_120-samples_config-3
GaetanMichelet/Llama-31-8B_task-1_120-samples_config-3
Llama-31-8B_task-1_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 17, 2024
- Updated
- Aug 17, 2024
- SHA
- 55fedab9
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-1_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-1 and the GaetanMichelet/chat-120_ft_task-1 datasets. It achieves the following results on the evaluation set:
- Loss: 1.2659
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 |
|---|---|---|---|
| 1.9625 | 1.0 | 11 | 2.0994 |
| 2.1365 | 2.0 | 22 | 2.0816 |
| 2.1371 | 3.0 | 33 | 2.0467 |
| 2.0536 | 4.0 | 44 | 1.9862 |
| 1.8317 | 5.0 | 55 | 1.8956 |
| 1.7607 | 6.0 | 66 | 1.7668 |
| 1.6452 | 7.0 | 77 | 1.6453 |
| 1.548 | 8.0 | 88 | 1.5728 |
| 1.4631 | 9.0 | 99 | 1.5217 |
| 1.4126 | 10.0 | 110 | 1.4711 |
| 1.3079 | 11.0 | 121 | 1.4176 |
| 1.3012 | 12.0 | 132 | 1.3769 |
| 1.2575 | 13.0 | 143 | 1.3423 |
| 1.2537 | 14.0 | 154 | 1.3098 |
| 1.1994 | 15.0 | 165 | 1.2874 |
| 1.1054 | 16.0 | 176 | 1.2713 |
| 1.0452 | 17.0 | 187 | 1.2680 |
| 1.0716 | 18.0 | 198 | 1.2659 |
| 0.9207 | 19.0 | 209 | 1.2755 |
| 0.8712 | 20.0 | 220 | 1.2918 |
| 0.8179 | 21.0 | 231 | 1.3371 |
| 0.6485 | 22.0 | 242 | 1.3561 |
| 0.6958 | 23.0 | 253 | 1.4414 |
| 0.5845 | 24.0 | 264 | 1.5147 |
| 0.5274 | 25.0 | 275 | 1.5912 |
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 17, 2024
- Updated
- Aug 17, 2024