This model is a fine-tuned version of shibing624/text2vec-base-multilingual on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8963
Accuracy: 0.6528

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: 1e-05
train_batch_size: 128
eval_batch_size: 128
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
1.1613	1.0	1407	1.0185	0.6048
0.9495	2.0	2814	0.9233	0.6422
0.8848	3.0	4221	0.8963	0.6528

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

IvashinMaxim/w2v128b128l

w2v128b128l

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

IvashinMaxim/
w2v128b128l