muril-hinglish-comment-analyzer

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: 0.9103

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	35	1.0320
No log	2.0	70	0.9427
No log	3.0	105	0.9103

Framework versions

• Transformers 5.21.0
• Pytorch 2.11.0+cu130
• Datasets 4.8.5
• Tokenizers 0.23.3