Llama2-7B-Medical-Finetune_V2 – AI Model by TachyHealthResearch | AlphaNeural AI

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TachyHealthResearch/
Llama2-7B-Medical-Finetune_V2

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text-generation

generated_from_trainer

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

autotrain_compatible

text-generation-inference

endpoints_compatible

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Llama2-7B-Medical-Finetune_V2

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

Loss: 1.0369

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: 0.00025
train_batch_size: 26
eval_batch_size: 26
seed: 42
gradient_accumulation_steps: 26
total_train_batch_size: 676
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.2907	0.3	100	1.1620
1.1355	0.59	200	1.1211
1.1063	0.89	300	1.0957
1.0724	1.19	400	1.0780
1.0489	1.49	500	1.0633
1.0359	1.78	600	1.0512
1.0228	2.08	700	1.0447
0.9924	2.38	800	1.0401
0.9906	2.68	900	1.0375
0.9863	2.97	1000	1.0369

Framework versions

Transformers 4.35.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1