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Kittipot/
Wangchanberta-Depress-Finetuned

Name: Wangchanberta-Depress-Finetuned
Availability: InStock

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Wangchanberta-Depress-Finetuned

This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the wisesight_sentiment dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss
1.0114	0.08	200	0.9538
0.8617	0.15	400	0.8280
0.7882	0.23	600	0.7472
0.7132	0.3	800	0.7264
0.7226	0.38	1000	0.7265
0.6854	0.45	1200	0.6792
0.621	0.53	1400	0.6451
0.6093	0.61	1600	0.6364
0.6099	0.68	1800	0.6128
0.5766	0.76	2000	0.6388
0.6033	0.83	2200	0.6148
0.5966	0.91	2400	0.6440
0.6208	0.98	2600	0.5910
0.5178	1.06	2800	0.6340
0.4863	1.13	3000	0.7177
0.4852	1.21	3200	0.6766
0.4711	1.29	3400	0.6739
0.5203	1.36	3600	0.6429
0.5167	1.44	3800	0.6539
0.5053	1.51	4000	0.6172
0.5076	1.59	4200	0.6053
0.4704	1.66	4400	0.6474
0.4807	1.74	4600	0.6225
0.4792	1.82	4800	0.6282
0.5177	1.89	5000	0.6011
0.4839	1.97	5200	0.6231
0.4155	2.04	5400	0.6668
0.3923	2.12	5600	0.6886
0.3713	2.19	5800	0.6895
0.364	2.27	6000	0.6886
0.3774	2.34	6200	0.7117
0.4001	2.42	6400	0.7081
0.3531	2.5	6600	0.7465
0.3768	2.57	6800	0.7706
0.3324	2.65	7000	0.7456
0.3597	2.72	7200	0.7507
0.3868	2.8	7400	0.7542
0.4141	2.87	7600	0.7223
0.3701	2.95	7800	0.7374
0.3175	3.03	8000	0.7615
0.2951	3.1	8200	0.7880
0.2885	3.18	8400	0.8158
0.2913	3.25	8600	0.8565
0.2815	3.33	8800	0.8649
0.2748	3.4	9000	0.8783
0.2776	3.48	9200	0.8851
0.2982	3.56	9400	0.8922
0.2939	3.63	9600	0.8796
0.2712	3.71	9800	0.8873
0.2918	3.78	10000	0.8973
0.3144	3.86	10200	0.8978
0.2988	3.93	10400	0.8951