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Llama-2-7b-hf
RickMartel/Llama-2-7b-hf
Llama-2-7b-hf is a machine learning model from RickMartel. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Updated Feb 19, 2024
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At a glance
- Access
- Public
- Created
- Feb 19, 2024
- Updated
- Feb 19, 2024
- SHA
- 0c8f63ae
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-2-7b-hf
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5368
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: 30
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 30
- total_train_batch_size: 900
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1061 | 0.21 | 11 | 1.1579 |
| 0.6232 | 0.42 | 22 | 0.6404 |
| 0.5858 | 0.62 | 33 | 0.5748 |
| 0.57 | 0.83 | 44 | 0.5426 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3
- Created
- Feb 19, 2024
- Updated
- Feb 19, 2024