distilroberta-base-finetuned-resume2

vasu11/distilroberta-base-finetuned-resume2

distilroberta-base-finetuned-resume2 is a text classification model from vasu11. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Apr 9, 2024
Updated: Apr 13, 2024
SHA: 6978c664

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Base models

distilbert/distilroberta-base

Model card

From the Hugging Face model README

distilroberta-base-finetuned-resume2

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

Loss: 0.2864
Accuracy: 0.9306
Precision (macro): 0.9303
Recall (macro): 0.9313
F1 (macro): 0.9307
Precision (weighted): 0.9308
Recall (weighted): 0.9306
F1 (weighted): 0.9306

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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision (macro)	Recall (macro)	F1 (macro)	Precision (weighted)	Recall (weighted)	F1 (weighted)
No log	0.27	200	0.3616	0.8974	0.9000	0.8997	0.8987	0.9001	0.8974	0.8978
No log	0.54	400	0.3542	0.9061	0.9091	0.9056	0.9071	0.9070	0.9061	0.9063
0.2488	0.81	600	0.2900	0.9176	0.9195	0.9154	0.9170	0.9179	0.9176	0.9174
0.2488	1.08	800	0.3177	0.9193	0.9176	0.9214	0.9192	0.9199	0.9193	0.9194
0.2006	1.35	1000	0.3002	0.9246	0.9247	0.9254	0.9249	0.9248	0.9246	0.9246
0.2006	1.62	1200	0.3050	0.9224	0.9217	0.9250	0.9227	0.9235	0.9224	0.9224
0.2006	1.89	1400	0.3084	0.9251	0.9246	0.9260	0.9252	0.9253	0.9251	0.9251
0.15	2.16	1600	0.3294	0.9226	0.9239	0.9222	0.9230	0.9229	0.9226	0.9227
0.15	2.43	1800	0.3102	0.9264	0.9288	0.9256	0.9268	0.9270	0.9264	0.9263
0.0959	2.7	2000	0.2930	0.9286	0.9287	0.9277	0.9281	0.9288	0.9286	0.9286
0.0959	2.97	2200	0.2864	0.9306	0.9303	0.9313	0.9307	0.9308	0.9306	0.9306

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Apr 9, 2024
Updated: Apr 13, 2024