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llama2-finetuned-squad
mondol007/llama2-finetuned-squad
llama2-finetuned-squad is a machine learning model from mondol007. 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 Mar 12, 2024
Repo size
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At a glance
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Mar 12, 2024
- SHA
- c6800067
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: 1.1801
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 |
|---|---|---|---|
| 1.4105 | 0.96 | 18 | 1.2821 |
| 1.7789 | 1.92 | 36 | 1.2163 |
| 1.7876 | 2.88 | 54 | 1.1932 |
| 1.6394 | 3.84 | 72 | 1.1824 |
| 1.2972 | 4.8 | 90 | 1.1801 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Created
- Jan 16, 2024
- Updated
- Mar 12, 2024