roberta-base-mnli_MULTI – AI Model by liuyanchen1015 | AlphaNeural AI

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liuyanchen1015/
roberta-base-mnli_MULTI

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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roberta-base-mnli_MULTI

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

Loss: 0.6448
Acc: 0.8397

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Acc
0.4594	0.33	2000	0.4535	0.8292
0.4231	0.67	4000	0.4440	0.8323
0.4128	1.0	6000	0.4484	0.8352
0.3137	1.33	8000	0.4905	0.8338
0.3168	1.66	10000	0.4740	0.8372
0.3176	2.0	12000	0.4624	0.8415
0.2347	2.33	14000	0.5300	0.8361
0.2361	2.66	16000	0.5097	0.8378
0.238	3.0	18000	0.5016	0.8407
0.18	3.33	20000	0.5873	0.8382
0.179	3.66	22000	0.5917	0.8374
0.1786	4.0	24000	0.5868	0.8398
0.1409	4.33	26000	0.6468	0.8371
0.1395	4.66	28000	0.6423	0.8371
0.1401	4.99	30000	0.6448	0.8397

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.12.1