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v1
aj30/v1
v1 is a machine learning model from aj30. 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 Jan 9, 2024
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At a glance
- Access
- Public
- Created
- Jan 9, 2024
- Updated
- Jan 9, 2024
- SHA
- ff9f48d2
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. -->
v1
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the pubmed-dataset dataset. It achieves the following results on the evaluation set:
- Loss: 1.7454
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7589 | 0.41 | 13 | 1.8658 |
| 1.7301 | 0.82 | 26 | 1.7849 |
| 1.709 | 1.23 | 39 | 1.7513 |
| 1.6289 | 1.64 | 52 | 1.7454 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Created
- Jan 9, 2024
- Updated
- Jan 9, 2024