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jaime-epoch-metrics/
task-embedder

Name: task-embedder
Availability: InStock

safetensors

mpnet

generated_from_trainer

sentence-transformers/all-mpnet-base-v2

finetune

apache-2.0

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task-embedder

This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2775
Accuracy: 0.5753

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.6652	1.0	83	4.2850	0.3649
3.9443	2.0	166	3.5407	0.4281
3.3575	3.0	249	3.1092	0.4710
3.084	4.0	332	2.8743	0.4962
2.8764	5.0	415	2.7020	0.5211
2.7367	6.0	498	2.6699	0.5188
2.6275	7.0	581	2.5638	0.5404
2.5257	8.0	664	2.5348	0.5430
2.4742	9.0	747	2.4302	0.5591
2.4238	10.0	830	2.4159	0.5577
2.3516	11.0	913	2.3461	0.5741
2.3115	12.0	996	2.3291	0.5728
2.29	13.0	1079	2.3577	0.5698
2.2412	14.0	1162	2.3473	0.5674
2.245	15.0	1245	2.3113	0.5720

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

jaime-epoch-metrics/task-embedder

task-embedder

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jaime-epoch-metrics/
task-embedder