metadata

license: cc-by-nc-4.0
base_model: Zamoranesis/mental_bert
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: mental_bert_classifier
    results: []
widget: >-
  The person seems obsessed with the signals he receives from the environment,
  always looking for hidden meanings behind the words and actions of others.

mental_bert_classifier

This model is a fine-tuned version of Zamoranesis/mental_bert on hackathon-somos-nlp-2023/DiagTrast. It achieves the following results on the evaluation set:

Loss: 0.2426
F1 Class 0: 0.8852
F1 Class 1: 0.9512
F1 Class 2: 0.8421
F1 Class 3: 0.8539
F1 Class 4: 0.9412
F1: 0.8947

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: 0.005
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 100
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Class 0	F1 Class 1	F1 Class 2	F1 Class 3	F1 Class 4	F1
0.7979	6.25	100	0.3557	0.8421	0.9512	0.8214	0.8889	0.9091	0.8825
0.2559	12.5	200	0.2823	0.9333	0.9412	0.8364	0.8602	0.9362	0.9015
0.1963	18.75	300	0.2610	0.9180	0.9756	0.7778	0.8352	0.9231	0.8859
0.1717	25.0	400	0.2534	0.9180	0.9630	0.8	0.8261	0.9412	0.8897
0.1511	31.25	500	0.2476	0.8667	0.9512	0.8148	0.8298	0.96	0.8845
0.1501	37.5	600	0.2513	0.9	0.9630	0.8	0.8261	0.9231	0.8824
0.1427	43.75	700	0.2581	0.9180	0.9756	0.8475	0.8810	0.8889	0.9022
0.1457	50.0	800	0.2428	0.8852	0.9512	0.8	0.8261	0.92	0.8765
0.1311	56.25	900	0.2462	0.9	0.9512	0.8	0.8352	0.9231	0.8819
0.1346	62.5	1000	0.2426	0.8852	0.9512	0.8421	0.8539	0.9412	0.8947

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3