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Llama_doctor_SFT_v_lr1e7_steps1000 – AI Model by tsavage68 | AlphaNeural AI

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tsavage68/
Llama_doctor_SFT_v_lr1e7_steps1000

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text-generation

generated_from_trainer

meta-llama/Llama-3.1-8B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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Llama_doctor_SFT_v_lr1e7_steps1000

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on an unknown dataset.

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: 1e-07
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1000

Training results

Framework versions

Transformers 4.53.0
Pytorch 2.1.2+cu121
Datasets 3.6.0
Tokenizers 0.21.2