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distilbert-multilingual-hindi – AI Model by cristinaale | AlphaNeural AI
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cristinaale
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distilbert-multilingual-hindi
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-multilingual-hindi
This model is a fine-tuned version of
distilbert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6227
Precision: 0.6664
Recall: 0.7140
F1: 0.6894
Accuracy: 0.7557
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.8788
0.9991
831
0.7682
0.6145
0.6673
0.6398
0.7156
0.7381
1.9982
1662
0.6385
0.6685
0.7182
0.6924
0.7642
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
