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llama2-themanas-MATH_aLgEbRa
themanas021/llama2-themanas-MATH_aLgEbRa
llama2-themanas-MATH_aLgEbRa is a machine learning model from themanas021. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- llama2
- Access
- Public
- Created
- Dec 19, 2023
- Updated
- Dec 23, 2023
- SHA
- 482ba62c
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. -->
llama2-themanas-MATH_aLgEbRa
This model is a fine-tuned version of togethercomputer/Llama-2-7B-32K-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2047
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 |
|---|---|---|---|
| 1.7178 | 0.48 | 3 | 1.5652 |
| 1.4869 | 0.96 | 6 | 1.3622 |
| 1.2911 | 1.44 | 9 | 1.2362 |
| 1.2598 | 1.92 | 12 | 1.2047 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- llama2
- Created
- Dec 19, 2023
- Updated
- Dec 23, 2023