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MIDIGen_Llama3_8B-Instruct_finetuned_10steps_test – AI Model by MikeMpapa | AlphaNeural AI
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MIDIGen_Llama3_8B-Instruct_finetuned_10steps_test
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peft
tensorboard
safetensors
llama
trl
sft
generated_from_trainer
generator
meta-llama/Meta-Llama-3-8B-Instruct
adapter
llama3
us
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MIDIGen_Llama3_8B-Instruct_finetuned_10steps_test
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
on the generator 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-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 10
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.0290
10
1.4814
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.19.1