SLT-Task1-Llama2-7b-HyPo-baseline – AI Model by GenSEC-LLM | AlphaNeural AI

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GenSEC-LLM/
SLT-Task1-Llama2-7b-HyPo-baseline

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text-generation

generated_from_trainer

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

autotrain_compatible

text-generation-inference

endpoints_compatible

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LLaMa-2-Hyporadise-pre-trained

Contributor: Huck Yang

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the hyporadise dataset. It achieves the following results on the evaluation set:

Loss: 0.3419

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: 5e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.3436	0.21	100	0.3495
0.3306	0.42	200	0.3352
0.3417	0.63	300	0.3245
0.3154	0.84	400	0.3160
0.1577	1.05	500	0.3239
0.159	1.26	600	0.3230
0.1493	1.48	700	0.3176
0.1498	1.69	800	0.3158
0.147	1.9	900	0.3104
0.0583	2.11	1000	0.3452
0.0547	2.32	1100	0.3395
0.0589	2.53	1200	0.3417
0.0593	2.74	1300	0.3414
0.0624	2.95	1400	0.3420

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2