Roberta-base-Rewritten-commit_messages_v1

ManojAlexender/Roberta-base-Rewritten-commit_messages_v1

Roberta-base-Rewritten-commit_messages_v1 is a text classification model from ManojAlexender. Use it when you need a label for a piece of text. It is set up for transformers.

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

Downloads · 30 days

3% of all-time downloads

All-time downloads

238

Public

Parameters

125M

499 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors499 MB · 99%

At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Apr 29, 2024
Updated: Apr 29, 2024
SHA: 4c5bb365

Try a prompt

Model card

From the Hugging Face model README

Roberta-base-Rewritten-commit_messages_v1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.0366
Accuracy: 0.7334
F1: 0.7333
Precision: 0.7485
Recall: 0.7334

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: 5e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.211	0.09	100	0.5038	0.7716	0.7710	0.7712	0.7716
0.1021	0.17	200	1.4349	0.6967	0.6878	0.7575	0.6967
0.21	0.26	300	1.6924	0.6772	0.6621	0.7604	0.6772
0.3015	0.34	400	1.2524	0.7688	0.7689	0.7691	0.7688
0.0545	0.43	500	0.6203	0.7967	0.7944	0.7996	0.7967
0.2606	0.52	600	1.9708	0.7812	0.7816	0.7831	0.7812
0.2303	0.6	700	4.2551	0.7003	0.6877	0.7822	0.7003
0.3791	0.69	800	3.9563	0.6449	0.6287	0.7176	0.6449
0.1818	0.77	900	3.2710	0.7413	0.7382	0.7798	0.7413
0.2664	0.86	1000	3.1223	0.7541	0.7545	0.7637	0.7541
0.0975	0.95	1100	4.2953	0.6628	0.6504	0.7279	0.6628
0.0994	1.03	1200	3.0247	0.7577	0.7568	0.7808	0.7577
0.0	1.12	1300	4.3038	0.7094	0.7048	0.7515	0.7094
0.1308	1.2	1400	3.6026	0.7497	0.7502	0.7576	0.7497
0.0518	1.29	1500	3.1581	0.7629	0.7634	0.7669	0.7629
0.0444	1.38	1600	3.5891	0.7485	0.7481	0.7480	0.7485
0.0904	1.46	1700	3.5088	0.7206	0.7162	0.7224	0.7206
0.2481	1.55	1800	3.5703	0.7083	0.7077	0.7257	0.7083
0.2444	1.63	1900	2.8876	0.7740	0.7688	0.7829	0.7740
0.1379	1.72	2000	3.2268	0.7385	0.7336	0.7426	0.7385
0.1244	1.81	2100	3.4375	0.7413	0.7417	0.7519	0.7413
0.0826	1.89	2200	3.1960	0.7688	0.7689	0.7689	0.7688
0.1172	1.98	2300	3.0243	0.7784	0.7784	0.7784	0.7784
0.1066	2.06	2400	3.2134	0.7764	0.7769	0.7790	0.7764
0.0	2.15	2500	3.3545	0.7664	0.7670	0.7694	0.7664
0.1429	2.24	2600	3.7563	0.7393	0.7389	0.7574	0.7393
0.0451	2.32	2700	3.4993	0.7537	0.7540	0.7548	0.7537
0.0	2.41	2800	3.7249	0.7501	0.7504	0.7511	0.7501
0.0273	2.49	2900	4.2791	0.7190	0.7175	0.7434	0.7190
0.0789	2.58	3000	4.2166	0.7178	0.7161	0.7438	0.7178
0.0527	2.67	3100	4.0366	0.7334	0.7333	0.7485	0.7334

Framework versions

Transformers 4.39.3
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: roberta
Created: Apr 29, 2024
Updated: Apr 29, 2024