This model is a fine-tuned version of facebook/opt-1.3b on the AlekseyKorshuk/dalio-all-io dataset. It achieves the following results on the evaluation set:

Loss: 2.3652
Accuracy: 0.0558

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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.6543	0.03	1	2.6113	0.0513
2.6077	0.07	2	2.6113	0.0513
2.5964	0.1	3	2.5605	0.0519
2.7302	0.14	4	2.5234	0.0527
2.7	0.17	5	2.5078	0.0528
2.5674	0.21	6	2.4941	0.0532
2.6406	0.24	7	2.4883	0.0534
2.5315	0.28	8	2.4805	0.0536
2.7202	0.31	9	2.4727	0.0537
2.5144	0.34	10	2.4648	0.0536
2.4983	0.38	11	2.4512	0.0537
2.7029	0.41	12	2.4414	0.0539
2.5198	0.45	13	2.4336	0.0540
2.5706	0.48	14	2.4258	0.0545
2.5688	0.52	15	2.4180	0.0548
2.3793	0.55	16	2.4102	0.0552
2.4785	0.59	17	2.4043	0.0554
2.4688	0.62	18	2.3984	0.0553
2.5674	0.66	19	2.3984	0.0553
2.5054	0.69	20	2.3945	0.0554
2.452	0.72	21	2.3887	0.0555
2.5999	0.76	22	2.3828	0.0556
2.3665	0.79	23	2.3789	0.0556
2.6223	0.83	24	2.375	0.0557
2.3562	0.86	25	2.3711	0.0557
2.429	0.9	26	2.3691	0.0557
2.563	0.93	27	2.3672	0.0558
2.4573	0.97	28	2.3652	0.0558
2.4883	1.0	29	2.3652	0.0558

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.3.2
Tokenizers 0.12.1

AlekseyKorshuk/dalio-all-io-1.3b

dalio-all-io-1.3b

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AlekseyKorshuk/
dalio-all-io-1.3b