Final-reviews-Finetuned-model – AI Model by rahulgaikwad007 | AlphaNeural AI

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rahulgaikwad007/
Final-reviews-Finetuned-model

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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Final-reviews-Finetuned-model

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

Loss: 0.6407
Accuracy: 0.8699
F1: 0.8616
Precision: 0.8589
Recall: 0.8699
Validation Accuracy: 0.8699

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: 5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: tpu
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Validation Accuracy
0.5596	1.0	1990	0.5189	0.8559	0.8285	0.8274	0.8559	0.8559
0.4261	2.0	3980	0.5166	0.8629	0.8428	0.8410	0.8629	0.8629
0.3577	3.0	5970	0.5737	0.8679	0.8560	0.8514	0.8679	0.8679
0.3142	4.0	7960	0.6407	0.8699	0.8616	0.8589	0.8699	0.8699
0.2589	5.0	9950	0.6715	0.8624	0.8583	0.8558	0.8624	0.8624

Framework versions

Transformers 4.42.3
Pytorch 2.2.0+cu121
Datasets 2.15.0
Tokenizers 0.19.1