bert-tiny-mlm-finetuned-emotion – AI Model by muhtasham | AlphaNeural AI

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muhtasham/
bert-tiny-mlm-finetuned-emotion

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bert-tiny-mlm-finetuned-emotion

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.5597

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: 3e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss
4.1612	22.73	500	3.6903
3.9137	45.45	1000	3.6206
3.819	68.18	1500	3.5811
3.7498	90.91	2000	3.5975
3.6958	113.64	2500	3.5832
3.6354	136.36	3000	3.5528
3.5974	159.09	3500	3.4957
3.5552	181.82	4000	3.5597

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2