metadata

tags:
  - generated_from_trainer
datasets:
  - wisesight_sentiment
model-index:
  - name: Wangchanberta-Depress-Finetuned
    results: []

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:

Model description

More information needed

More information needed

More information needed

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