distilbert-base-uncased-becas-5 – AI Model by Evelyn18 | AlphaNeural AI

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distilbert-base-uncased-becas-5

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distilbert-base-uncased-becas-5

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: 4.8805

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: 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	5.4344
No log	2.0	10	4.9002
No log	3.0	15	4.3601
No log	4.0	20	4.4784
No log	5.0	25	4.3712
No log	6.0	30	4.3958
No log	7.0	35	4.8476
No log	8.0	40	4.6108
No log	9.0	45	4.7711
No log	10.0	50	4.8805

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1