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MikeMpapa/
MIDIGen_Llama3_8B-Instruct_finetuned_10epochs

Name: MIDIGen_Llama3_8B-Instruct_finetuned_10epochs
Availability: InStock

generated_from_trainer

generator

meta-llama/Meta-Llama-3-8B-Instruct

adapter

llama3

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MIDIGen_Llama3_8B-Instruct_finetuned_10epochs

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.6254

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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.6577	0.9996	1386	0.6565
0.6373	2.0	2773	0.6403
0.6294	2.9996	4159	0.6344
0.6256	4.0	5546	0.6313
0.6257	4.9996	6932	0.6294
0.6255	6.0	8319	0.6280
0.6201	6.9996	9705	0.6271
0.6205	8.0	11092	0.6264
0.6205	8.9996	12478	0.6259
0.6252	9.9964	13860	0.6254

Framework versions

PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.19.1

MikeMpapa/MIDIGen_Llama3_8B-Instruct_finetuned_10epochs

MIDIGen_Llama3_8B-Instruct_finetuned_10epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MikeMpapa/
MIDIGen_Llama3_8B-Instruct_finetuned_10epochs