This model is a fine-tuned version of facebook/opt-1.3b on the AlekseyKorshuk/amazon-reviews-input-output dataset. It achieves the following results on the evaluation set:

Loss: 3.5488
Accuracy: 0.0355
Samples: 100
Perplexity: 34.7725
Table: <wandb.data_types.Table object at 0x7ffa3c3fd700>

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.2024	0.06	1	2.9121	0.0385
3.1226	0.12	2	2.9121	0.0385
3.1321	0.19	3	2.8477	0.0394
2.9875	0.25	4	2.8477	0.0394
2.9717	0.31	5	2.8555	0.0391
2.9341	0.38	6	2.8438	0.0392
3.0376	0.44	7	2.8184	0.0396
2.8164	0.5	8	2.7988	0.0395
3.0857	0.56	9	2.7988	0.0394
2.9492	0.62	10	2.7969	0.0395
2.8633	0.69	11	2.7969	0.0395
2.8994	0.75	12	2.7910	0.0398
3.0024	0.81	13	2.7812	0.0401
2.937	0.88	14	2.7812	0.0399
2.9963	0.94	15	2.7812	0.0399
3.0168	1.0	16	2.7754	0.04
2.2589	1.06	17	2.7715	0.0397
2.2568	1.12	18	2.7793	0.0395
2.3138	1.19	19	2.8027	0.0393
2.2759	1.25	20	2.8184	0.0393
2.5137	1.31	21	2.8262	0.0390
2.2997	1.38	22	2.8320	0.0388
2.2693	1.44	23	2.8359	0.0392
2.204	1.5	24	2.8379	0.0387
2.3713	1.56	25	2.8359	0.0391
2.3448	1.62	26	2.8340	0.0391
2.217	1.69	27	2.8359	0.0391
2.3082	1.75	28	2.8379	0.0385
2.2878	1.81	29	2.8379	0.0386
2.2429	1.88	30	2.8379	0.0385
2.2838	1.94	31	2.8359	0.0385
2.4038	2.0	32	2.8379	0.0387
1.8481	2.06	33	2.8555	0.0384
1.657	2.12	34	2.8965	0.0382
1.6996	2.19	35	2.9590	0.0380
1.6741	2.25	36	3.0312	0.0379
1.594	2.31	37	3.0410	0.0380
1.5201	2.38	38	3.0156	0.0381
1.5149	2.44	39	3.0137	0.0380
1.5521	2.5	40	3.0176	0.0379
1.5364	2.56	41	3.0273	0.0378
1.5385	2.62	42	3.0391	0.0380
1.4794	2.69	43	3.0488	0.0380
1.4313	2.75	44	3.0527	0.0378
1.5071	2.81	45	3.0469	0.0378
1.4799	2.88	46	3.0449	0.0378
1.521	2.94	47	3.0371	0.0380
1.4603	3.0	48	3.0410	0.0379
1.25	3.06	49	3.0859	0.0381
1.0411	3.12	50	3.1797	0.0375
1.0385	3.19	51	3.2969	0.0371
1.0254	3.25	52	3.3613	0.0367
0.9656	3.31	53	3.3633	0.0368
1.036	3.38	54	3.3359	0.0366
0.9366	3.44	55	3.2949	0.0366
0.9712	3.5	56	3.2695	0.0367
1.0066	3.56	57	3.2676	0.0366
0.9952	3.62	58	3.2773	0.0368
1.0352	3.69	59	3.2891	0.0367
1.0212	3.75	60	3.3164	0.0362
0.9468	3.81	61	3.3203	0.0360
0.9155	3.88	62	3.3223	0.0366
0.8552	3.94	63	3.3262	0.0370
0.9575	4.0	64	3.3340	0.0370
0.6384	4.06	65	3.375	0.0370
0.6436	4.12	66	3.4453	0.0364
0.5752	4.19	67	3.5391	0.0358
0.6542	4.25	68	3.6016	0.0354
0.6724	4.31	69	3.6016	0.0354
0.591	4.38	70	3.5938	0.0359
0.5346	4.44	71	3.5801	0.0361
0.5112	4.5	72	3.5762	0.0361
0.5443	4.56	73	3.5840	0.0362
0.5689	4.62	74	3.6152	0.0358
0.5667	4.69	75	3.6328	0.0358
0.554	4.75	76	3.6348	0.0357
0.6087	4.81	77	3.625	0.0355
0.5236	4.88	78	3.6152	0.0355
0.5458	4.94	79	3.5781	0.0355
0.5702	5.0	80	3.5488	0.0355

Framework versions

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

AlekseyKorshuk/amazon-reviews-input-output-1.3b

amazon-reviews-input-output-1.3b

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AlekseyKorshuk/
amazon-reviews-input-output-1.3b