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callmesan/
indic-sentence-bert-nli-hate-mr

Name: indic-sentence-bert-nli-hate-mr
Availability: InStock

generated_from_trainer

l3cube-pune/indic-sentence-bert-nli

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indic-sentence-bert-nli-hate-mr

This model is a fine-tuned version of l3cube-pune/indic-sentence-bert-nli on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1222
Accuracy: 0.9732
Precision: 0.9733
Recall: 0.9732
F1: 0.9732

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: 128
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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.6323	1.0	61	0.6216	0.6819	0.6951	0.6816	0.6762
0.6538	2.0	122	0.6064	0.6843	0.7260	0.6849	0.6695
0.478	3.0	183	0.6003	0.7060	0.7076	0.7059	0.7054
0.3915	4.0	244	0.5929	0.7373	0.748	0.7376	0.7346
0.3288	5.0	305	0.6091	0.7470	0.7560	0.7472	0.7448
0.2425	6.0	366	0.6779	0.7301	0.7344	0.7300	0.7288
0.1878	7.0	427	0.6804	0.7422	0.7423	0.7422	0.7421
0.1156	8.0	488	0.7229	0.7614	0.7616	0.7615	0.7614
0.1454	9.0	549	0.8009	0.7494	0.7528	0.7493	0.7485
0.1152	10.0	610	0.8109	0.7566	0.7571	0.7566	0.7565

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

callmesan/indic-sentence-bert-nli-hate-mr

indic-sentence-bert-nli-hate-mr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

callmesan/
indic-sentence-bert-nli-hate-mr