Wangchanberta-Depress-Finetuned

Kittipot/Wangchanberta-Depress-Finetuned

Wangchanberta-Depress-Finetuned is a text classification model from Kittipot. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: camembert
Access: Public
Created: Mar 2, 2022
Updated: Oct 24, 2022
SHA: ad07ab5a

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Datasets

wisesight_sentiment

Model card

From the Hugging Face model README

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:

Loss: 0.5910

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
num_epochs: 4

Training results

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

Framework versions

Transformers 4.11.2
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: camembert
Created: Mar 2, 2022
Updated: Oct 24, 2022