distilroberta-base-finetuned-media-left – AI Model by Jorsini | AlphaNeural AI

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Jorsini/
distilroberta-base-finetuned-media-left

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distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

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distilroberta-base-finetuned-media-left

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

Loss: 1.1486

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	146	1.6589
No log	2.0	292	1.5801
No log	3.0	438	1.5258
1.7336	4.0	584	1.4607
1.7336	5.0	730	1.4002
1.7336	6.0	876	1.4025
1.4357	7.0	1022	1.3493
1.4357	8.0	1168	1.3449
1.4357	9.0	1314	1.3117
1.4357	10.0	1460	1.2954
1.2491	11.0	1606	1.3056
1.2491	12.0	1752	1.2601
1.2491	13.0	1898	1.2488
1.1171	14.0	2044	1.2119
1.1171	15.0	2190	1.2133
1.1171	16.0	2336	1.1962
1.1171	17.0	2482	1.1902
1.0375	18.0	2628	1.1545
1.0375	19.0	2774	1.1702
1.0375	20.0	2920	1.1486

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0