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results – AI Model by sandip404 | AlphaNeural AI
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transformers
safetensors
bert
text-classification
generated_from_trainer
google/muril-base-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
google/muril-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8564
Accuracy: 0.8761
F1: 0.8755
Precision: 0.8892
Recall: 0.8761
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
1.3029
1.0
339
1.1999
0.5634
0.4575
0.4881
0.5634
1.0073
2.0
678
0.9380
0.7168
0.6836
0.7627
0.7168
0.8519
3.0
1017
0.8564
0.8761
0.8755
0.8892
0.8761
Framework versions
Transformers 4.56.2
Pytorch 2.7.1+cpu
Datasets 4.2.0
Tokenizers 0.22.1
