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Llama-31-8B_task-2_60-samples_config-2_full
GaetanMichelet/Llama-31-8B_task-2_60-samples_config-2_full
Llama-31-8B_task-2_60-samples_config-2_full 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 20, 2024
- Updated
- Aug 21, 2024
- SHA
- 778e2a0a
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-31-8B_task-2_60-samples_config-2_full
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0628
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
- gradient_accumulation_steps: 16
- 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: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5658 | 0.6957 | 2 | 1.5799 |
| 1.5614 | 1.7391 | 5 | 1.5293 |
| 1.4751 | 2.7826 | 8 | 1.4358 |
| 1.3878 | 3.8261 | 11 | 1.3590 |
| 1.3039 | 4.8696 | 14 | 1.2951 |
| 1.2412 | 5.9130 | 17 | 1.2337 |
| 1.1483 | 6.9565 | 20 | 1.1724 |
| 1.1126 | 8.0 | 23 | 1.1255 |
| 1.0651 | 8.6957 | 25 | 1.1110 |
| 1.0248 | 9.7391 | 28 | 1.0985 |
| 1.0323 | 10.7826 | 31 | 1.0890 |
| 1.0119 | 11.8261 | 34 | 1.0821 |
| 0.9765 | 12.8696 | 37 | 1.0758 |
| 0.9796 | 13.9130 | 40 | 1.0704 |
| 0.9428 | 14.9565 | 43 | 1.0683 |
| 0.9511 | 16.0 | 46 | 1.0637 |
| 0.9117 | 16.6957 | 48 | 1.0628 |
| 0.9208 | 17.7391 | 51 | 1.0629 |
| 0.9108 | 18.7826 | 54 | 1.0634 |
| 0.8903 | 19.8261 | 57 | 1.0640 |
| 0.8762 | 20.8696 | 60 | 1.0664 |
| 0.8702 | 21.9130 | 63 | 1.0685 |
| 0.8465 | 22.9565 | 66 | 1.0700 |
| 0.8409 | 24.0 | 69 | 1.0734 |
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 20, 2024
- Updated
- Aug 21, 2024