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llama2-finetuned-squad
amit70/llama2-finetuned-squad
llama2-finetuned-squad is a machine learning model from amit70. 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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Public
Updated Jan 18, 2024
Repo size
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At a glance
- Access
- Public
- Created
- Jan 18, 2024
- Updated
- Jan 18, 2024
- SHA
- e602890a
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. -->
llama2-finetuned-squad
This model was trained from scratch on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.2468
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: 2e-05
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4238 | 1.0 | 2 | 1.2661 |
| 2.3387 | 2.0 | 4 | 1.2568 |
| 2.1817 | 3.0 | 6 | 1.2504 |
| 2.122 | 4.0 | 8 | 1.2467 |
| 2.1925 | 5.0 | 10 | 1.2468 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Created
- Jan 18, 2024
- Updated
- Jan 18, 2024