finetuning_results2 – AI Model by DanielSM | AlphaNeural AI

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DanielSM/
finetuning_results2

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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finetuning_results

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

Loss: 0.0000
Accuracy: 1.0

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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0555	1.0	50	0.0003	1.0
0.0064	2.0	100	0.0001	1.0
0.002	3.0	150	0.0000	1.0
0.0027	4.0	200	0.0000	1.0
0.0001	5.0	250	0.0000	1.0
0.0001	6.0	300	0.0000	1.0
0.0001	7.0	350	0.0000	1.0
0.0001	8.0	400	0.0000	1.0
0.0001	9.0	450	0.0000	1.0
0.0001	10.0	500	0.0000	1.0
0.0001	11.0	550	0.0000	1.0
0.0001	12.0	600	0.0000	1.0

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1