distilroberta-base-reuters-bloomberg-ep30-ep20 – AI Model by judy93536 | AlphaNeural AI

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distilroberta-base-reuters-bloomberg-ep30-ep20

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distilroberta-base-reuters-bloomberg-ep30-ep20

This model is a fine-tuned version of judy93536/distilroberta-base-reuters-bloomberg on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2767

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: 7.2115e-05
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
lr_scheduler_warmup_ratio: 0.12
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3775	1.0	13905	1.3298
1.4586	2.0	27810	1.4049
1.5213	3.0	41715	1.4486
1.5175	4.0	55620	1.4431
1.5007	5.0	69525	1.4346
1.4875	6.0	83430	1.4237
1.4695	7.0	97335	1.4145
1.4625	8.0	111240	1.4062
1.4343	9.0	125145	1.3892
1.4276	10.0	139050	1.3822
1.4147	11.0	152955	1.3658
1.3914	12.0	166860	1.3549
1.3774	13.0	180765	1.3425
1.3691	14.0	194670	1.3323
1.3523	15.0	208575	1.3193
1.3354	16.0	222480	1.3098
1.3221	17.0	236385	1.2990
1.3083	18.0	250290	1.2885
1.3052	19.0	264195	1.2830
1.2818	20.0	278100	1.2793

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1