bart-large-mnli-aitools-7n

RyuExcalibur/bart-large-mnli-aitools-7n

bart-large-mnli-aitools-7n is a text classification model from RyuExcalibur. 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: bart
Access: Public
Created: Feb 17, 2023
Updated: Feb 17, 2023
SHA: 1a72ed0e

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Model card

From the Hugging Face model README

bart-large-mnli-aitools-7n

This model is a fine-tuned version of facebook/bart-large-mnli on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2440
Accuracy: 0.9653

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: 4
eval_batch_size: 4
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	Accuracy
No log	0.08	50	0.3695	0.8819
No log	0.15	100	0.5887	0.8819
No log	0.23	150	0.4348	0.8819
No log	0.31	200	0.5770	0.8819
No log	0.38	250	0.3552	0.9306
No log	0.46	300	0.2887	0.9306
No log	0.54	350	0.3606	0.9444
No log	0.62	400	0.3048	0.9444
No log	0.69	450	0.3399	0.9028
0.4278	0.77	500	0.3600	0.9236
0.4278	0.85	550	0.3100	0.9375
0.4278	0.92	600	0.3624	0.9444
0.4278	1.0	650	0.3367	0.9444
0.4278	1.08	700	0.2593	0.9444
0.4278	1.15	750	0.3215	0.9236
0.4278	1.23	800	0.3484	0.9306
0.4278	1.31	850	0.3628	0.9167
0.4278	1.38	900	0.3267	0.9444
0.4278	1.46	950	0.3527	0.9375
0.2206	1.54	1000	0.3661	0.9306
0.2206	1.62	1050	0.2522	0.9514
0.2206	1.69	1100	0.3929	0.9167
0.2206	1.77	1150	0.2960	0.9306
0.2206	1.85	1200	0.2918	0.9444
0.2206	1.92	1250	0.2746	0.9514
0.2206	2.0	1300	0.2954	0.9583
0.2206	2.08	1350	0.2634	0.9375
0.2206	2.15	1400	0.3141	0.9514
0.2206	2.23	1450	0.2427	0.9514
0.1761	2.31	1500	0.2440	0.9653
0.1761	2.38	1550	0.2204	0.9653
0.1761	2.46	1600	0.2171	0.9653
0.1761	2.54	1650	0.2676	0.9583

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bart
License: mit
Created: Feb 17, 2023
Updated: Feb 17, 2023