metadata

base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: basho_haiku_gpt2_test
    results: []

basho_haiku_gpt2

Generate a Haiku in the style of Matsuo Bashō given an initial word prompt!

This model is a fine-tuned version of gpt2 on a Haiku dataset. It achieves the following results on the evaluation set:

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss
0.9095	0.11	100	0.6605
0.6638	0.22	200	0.6303
0.6456	0.33	300	0.6163
0.6421	0.45	400	0.6139
0.6421	0.56	500	0.6069
0.6182	0.67	600	0.5944
0.6277	0.78	700	0.5910
0.6409	0.89	800	0.5878
0.6047	1.0	900	0.5807
0.4944	1.11	1000	0.5847
0.4878	1.23	1100	0.5897
0.4706	1.34	1200	0.5947
0.4829	1.45	1300	0.5866
0.4742	1.56	1400	0.5875
0.4555	1.67	1500	0.5884
0.4713	1.78	1600	0.5890
0.4669	1.9	1700	0.5848
0.475	2.01	1800	0.5838
0.3762	2.12	1900	0.6123
0.3703	2.23	2000	0.6172
0.3772	2.34	2100	0.6118
0.3731	2.45	2200	0.6090
0.3662	2.56	2300	0.6151
0.3894	2.68	2400	0.6132
0.3663	2.79	2500	0.6195
0.368	2.9	2600	0.6163
0.3735	3.01	2700	0.6191
0.3006	3.12	2800	0.6518
0.3071	3.23	2900	0.6603
0.2898	3.34	3000	0.6629
0.2986	3.46	3100	0.6648
0.3107	3.57	3200	0.6558
0.3064	3.68	3300	0.6568
0.3052	3.79	3400	0.6633
0.3069	3.9	3500	0.6626
0.2872	4.01	3600	0.6641
0.2711	4.12	3700	0.6848
0.2584	4.24	3800	0.6944
0.2606	4.35	3900	0.7007
0.2538	4.46	4000	0.7029
0.2481	4.57	4100	0.7014
0.2466	4.68	4200	0.7006
0.25	4.79	4300	0.6990
0.2568	4.91	4400	0.7002