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my_llama7B_100_r8_final2

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my_llama7B_100_r8_final2

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6381

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: 0.0002
train_batch_size: 4
eval_batch_size: 1
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: linear
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.8702	0.03	20	1.7264
1.7259	0.06	40	1.6565
1.6727	0.1	60	1.6489
1.6753	0.13	80	1.6398
1.6736	0.16	100	1.6381

Framework versions

PEFT 0.11.1
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1

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Base model

meta-llama/Llama-2-7b-hf

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Evaluation results

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