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bengali_pos_v1_200000 – AI Model by mHossain | AlphaNeural AI
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mHossain
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bengali_pos_v1_200000
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transformers
tensorboard
safetensors
electra
token-classification
generated_from_trainer
pos_tag_100k
mHossain/bengali_pos_v1
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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bengali_pos_v1_200000
This model is a fine-tuned version of
mHossain/bengali_pos_v1
on the pos_tag_100k dataset. It achieves the following results on the evaluation set:
Loss: 0.5802
Precision: 0.7728
Recall: 0.7752
F1: 0.7740
Accuracy: 0.8326
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.6183
1.0
22500
0.6032
0.7546
0.7570
0.7558
0.8193
0.5138
2.0
45000
0.5763
0.7691
0.7694
0.7692
0.8292
0.4448
3.0
67500
0.5802
0.7728
0.7752
0.7740
0.8326
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
