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meditron-7b_both_n1600 – AI Model by th135 | AlphaNeural AI
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th135
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meditron-7b_both_n1600
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peft
safetensors
llama
generated_from_trainer
epfl-llm/meditron-7b
adapter
llama2
us
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meditron-7b_both_n1600
This model is a fine-tuned version of
epfl-llm/meditron-7b
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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.1
