metadata
license: llama2
base_model: togethercomputer/Llama-2-7B-32K-Instruct
tags:
- generated_from_trainer
model-index:
- name: llama2-themanas-MATH_aLgEbRa
results: []
datasets:
- themanas021/MATH-Algebra
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