This model is a fine-tuned version of juancopi81/lmd-8bars-2048-epochs30_v4 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9128

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: 0.0005
train_batch_size: 8
eval_batch_size: 4
seed: 1
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.959	0.5	4994	0.9735
0.9841	1.0	9988	0.9691
0.9779	1.5	14982	0.9632
0.9818	2.0	19976	0.9590
0.9736	2.5	24970	0.9610
0.9715	3.0	29964	0.9552
0.9629	3.5	34958	0.9520
0.9623	4.0	39952	0.9435
0.9509	4.5	44946	0.9442
0.9499	5.0	49940	0.9404
0.9367	5.5	54934	0.9334
0.9376	6.0	59928	0.9308
0.9247	6.5	64922	0.9270
0.9255	7.0	69916	0.9200
0.9163	7.5	74910	0.9184
0.9123	8.0	79904	0.9160
0.9071	8.5	84898	0.9147
0.9042	9.0	89892	0.9132
0.9026	9.5	94886	0.9124
0.9012	10.0	99880	0.9128

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

RichardErkhov/juancopi81_-_lmd-8bars-2048-epochs40_v4-4bits

Original model description:

lmd-8bars-2048-epochs40_v4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
juancopi81_-_lmd-8bars-2048-epochs40_v4-4bits