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mfreihaut/
refinement-finetuned-mnli-kaggle-2

Name: refinement-finetuned-mnli-kaggle-2
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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refinement-finetuned-mnli-kaggle-2

This model is a fine-tuned version of mfreihaut/refinement-finetuned-mnli-1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4099

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
0.6157	1.0	12599	0.5321
0.5355	2.0	25198	0.6121
0.4084	3.0	37797	0.3938
0.4596	4.0	50396	0.3925
0.4625	5.0	62995	0.3928
0.4668	6.0	75594	0.3892
0.5054	7.0	88193	0.4097
0.4953	8.0	100792	0.4099

Framework versions

Transformers 4.22.2
Pytorch 1.10.0
Datasets 2.5.1
Tokenizers 0.12.1

mfreihaut/refinement-finetuned-mnli-kaggle-2

refinement-finetuned-mnli-kaggle-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mfreihaut/
refinement-finetuned-mnli-kaggle-2