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---
license: llama2
base_model: togethercomputer/Llama-2-7B-32K-Instruct
tags:
- generated_from_trainer
- maths
model-index:
- name: llama2-themanas-MATH_aLgEbRa
results: []
datasets:
- themanas021/MATH-Algebra
pipeline_tag: text2text-generation
---
<!-- 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](https://huggingface.co/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 |