roberta-base-mnli_ChcE

liuyanchen1015/roberta-base-mnli_ChcE

roberta-base-mnli_ChcE is a text classification model from liuyanchen1015. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Mar 18, 2023
Updated: Mar 20, 2023
SHA: 346a83a4

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Model card

From the Hugging Face model README

roberta-base-mnli_ChcE

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: 0.7094
Acc: 0.8698

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Acc
0.3102	0.17	2000	0.4135	0.8545
0.3046	0.33	4000	0.4024	0.8645
0.3038	0.5	6000	0.3936	0.8668
0.3012	0.67	8000	0.4007	0.8625
0.2979	0.83	10000	0.4235	0.8620
0.2997	1.0	12000	0.4031	0.8644
0.2099	1.17	14000	0.4393	0.8633
0.2114	1.33	16000	0.4662	0.8628
0.2147	1.5	18000	0.4331	0.8648
0.2122	1.67	20000	0.4166	0.8702
0.2156	1.83	22000	0.4463	0.8633
0.2117	2.0	24000	0.4637	0.8680
0.1469	2.17	26000	0.5211	0.8681
0.1526	2.33	28000	0.5206	0.8620
0.1494	2.5	30000	0.5168	0.8664
0.1519	2.67	32000	0.4830	0.8700
0.152	2.84	34000	0.5465	0.8636
0.1498	3.0	36000	0.5550	0.8680
0.1131	3.17	38000	0.6764	0.8602
0.1135	3.34	40000	0.6200	0.8657
0.1175	3.5	42000	0.5889	0.8671
0.1156	3.67	44000	0.6300	0.8663
0.1104	3.84	46000	0.6045	0.8690
0.1111	4.0	48000	0.6413	0.8694
0.086	4.17	50000	0.7271	0.8658
0.0895	4.34	52000	0.7274	0.8683
0.0867	4.5	54000	0.7226	0.8658
0.0886	4.67	56000	0.7182	0.8691
0.0849	4.84	58000	0.7094	0.8698

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 18, 2023
Updated: Mar 20, 2023