distilbert-base-uncased-modelo-becas0 – AI Model by Evelyn18 | AlphaNeural AI

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distilbert-base-uncased-modelo-becas0

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distilbert-base-uncased-modelo-becas0

This model is a fine-tuned version of distilbert-base-uncased on the becasv3 dataset. It achieves the following results on the evaluation set:

Loss: 3.1182

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: 16
eval_batch_size: 16
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	5	5.5381
No log	2.0	10	4.9493
No log	3.0	15	4.4985
No log	4.0	20	4.1063
No log	5.0	25	3.7708
No log	6.0	30	3.5205
No log	7.0	35	3.3313
No log	8.0	40	3.2195
No log	9.0	45	3.1453
No log	10.0	50	3.1182

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1