movieHunt3-ner – AI Model by AbidHasan95 | AlphaNeural AI

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AbidHasan95/
movieHunt3-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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movieHunt3-ner

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0009

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	95	0.0462
No log	2.0	190	0.0067
No log	3.0	285	0.0028
No log	4.0	380	0.0018
No log	5.0	475	0.0014
0.1098	6.0	570	0.0012
0.1098	7.0	665	0.0011
0.1098	8.0	760	0.0010
0.1098	9.0	855	0.0010
0.1098	10.0	950	0.0009

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1