distilbert-base-uncased-becas-4 – AI Model by Evelyn18 | AlphaNeural AI

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distilbert-base-uncased-becas-4

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distilbert-base-uncased-becas-4

This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:

Loss: 3.1357

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	9	4.9618
No log	2.0	18	4.1071
No log	3.0	27	3.5438
No log	4.0	36	3.2115
No log	5.0	45	2.9524
No log	6.0	54	3.0645
No log	7.0	63	2.9351
No log	8.0	72	3.1037
No log	9.0	81	3.1132
No log	10.0	90	3.1357

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1