BERTicSENTPOS0 – AI Model by Tanor | AlphaNeural AI

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Tanor/
BERTicSENTPOS0

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text-classification

generated_from_trainer

Tanor/BERTicSENTPOS0

autotrain_compatible

endpoints_compatible

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BERTicSENTPOS0

This model is a fine-tuned version of Tanor/BERTicSENTPOS0 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0233
F1: 0.7692

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: 64
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 32

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	47	0.0200	0.6364
No log	2.0	94	0.0311	0.5333
No log	3.0	141	0.0305	0.5333
No log	4.0	188	0.0171	0.7
No log	5.0	235	0.0200	0.6957
No log	6.0	282	0.0207	0.72
No log	7.0	329	0.0233	0.7692

Framework versions

Transformers 4.40.1
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.19.1