bert-base-uncased-finetuned-wls-manual-9ep-lower – AI Model by btamm12 | AlphaNeural AI

You can deploy this model and start earning money today!

btamm12/
bert-base-uncased-finetuned-wls-manual-9ep-lower

like

0

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-base-uncased-finetuned-wls-manual-9ep-lower

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2788

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss
2.1096	0.93	7	1.9445
1.5963	2.0	15	1.5711
1.4734	2.93	22	1.4391
1.3716	4.0	30	1.4138
1.2719	4.93	37	1.2480
1.2486	6.0	45	1.2483
1.2156	6.93	52	1.2662
1.1523	8.0	60	1.3172
1.1596	8.4	63	1.2467

Framework versions

Transformers 4.31.0
Pytorch 1.11.0+cu113
Datasets 2.14.4
Tokenizers 0.13.3