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muhtasham/tiny-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes

sourceHugging Faceupdated 4y agoView on Hugging Face

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tiny-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes

This model is a fine-tuned version of muhtasham/tiny-mlm-snli-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:

—Loss: 0.6855
—Accuracy: 0.7148
—F1: 0.7138

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
—trainbatchsize: 32
—evalbatchsize: 32
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: constant
—training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6938	1.87	500	0.6927	0.5019	0.3375
0.6842	3.75	1000	0.6678	0.6013	0.6013
0.6171	5.62	1500	0.5950	0.6811	0.6793
0.4993	7.49	2000	0.5695	0.7045	0.7045
0.444	9.36	2500	0.5844	0.7176	0.7175
0.4141	11.24	3000	0.5990	0.7261	0.7260
0.3856	13.11	3500	0.6320	0.7223	0.7208
0.3564	14.98	4000	0.6657	0.7129	0.7108
0.3377	16.85	4500	0.6855	0.7148	0.7138

Framework versions

—Transformers 4.26.0.dev0
—Pytorch 1.13.1+cu116
—Datasets 2.8.1.dev0
—Tokenizers 0.13.2