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llama_ice_v4_domar
thorirhrafn/llama_ice_v4_domar
llama_ice_v4_domar is a machine learning model from thorirhrafn. 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
- Apr 9, 2024
- Updated
- Apr 9, 2024
- SHA
- 3528b760
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_ice_v4_domar
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6764
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6903 | 0.5 | 250 | 0.7641 |
| 0.6472 | 0.99 | 500 | 0.7139 |
| 0.5689 | 1.49 | 750 | 0.6957 |
| 0.6455 | 1.99 | 1000 | 0.6734 |
| 0.4287 | 2.48 | 1250 | 0.6716 |
| 0.4742 | 2.98 | 1500 | 0.6629 |
| 0.5246 | 3.48 | 1750 | 0.6706 |
| 0.5192 | 3.97 | 2000 | 0.6710 |
| 0.5317 | 4.47 | 2250 | 0.6761 |
| 0.4727 | 4.97 | 2500 | 0.6764 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- peft
- Created
- Apr 9, 2024
- Updated
- Apr 9, 2024