metadata

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

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