poem-gen-t5-small_v1

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.7290

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
3.5397	0.32	5000	3.3474
3.4107	0.63	10000	3.2260
3.3236	0.95	15000	3.1414
3.25	1.26	20000	3.0884
3.2055	1.58	25000	3.0461
3.1677	1.89	30000	3.0057
3.1189	2.21	35000	2.9786
3.0972	2.53	40000	2.9533
3.0855	2.84	45000	2.9318
3.0364	3.16	50000	2.9124
3.0125	3.47	55000	2.8962
2.9987	3.79	60000	2.8812
2.9734	4.1	65000	2.8675
2.9782	4.42	70000	2.8563
2.9492	4.74	75000	2.8446
2.9383	5.05	80000	2.8360
2.9322	5.37	85000	2.8250
2.9193	5.68	90000	2.8159
2.9119	6.0	95000	2.8095
2.8893	6.31	100000	2.8046
2.8927	6.63	105000	2.7975
2.8944	6.95	110000	2.7879
2.8568	7.26	115000	2.7856
2.8648	7.58	120000	2.7808
2.8534	7.89	125000	2.7737
2.8563	8.21	130000	2.7696
2.8387	8.52	135000	2.7664
2.8328	8.84	140000	2.7643
2.8137	9.16	145000	2.7615
2.8058	9.47	150000	2.7548
2.8138	9.79	155000	2.7547
2.8098	10.1	160000	2.7506
2.7944	10.42	165000	2.7479
2.809	10.73	170000	2.7443
2.7897	11.05	175000	2.7431
2.7955	11.37	180000	2.7403
2.793	11.68	185000	2.7403
2.798	12.0	190000	2.7351
2.7955	12.31	195000	2.7351
2.785	12.63	200000	2.7329
2.7701	12.94	205000	2.7329
2.7744	13.26	210000	2.7317
2.7827	13.58	215000	2.7295
2.7793	13.89	220000	2.7303
2.7782	14.21	225000	2.7298
2.7762	14.52	230000	2.7289
2.7719	14.84	235000	2.7292

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6