muril_large_finetuned
This model is a fine-tuned version of google/muril-large-cased on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.7227
- eval_accuracy: 0.7333
- eval_f1: 0.6131
- eval_runtime: 9.413
- eval_samples_per_second: 122.703
- eval_steps_per_second: 30.702
- epoch: 1.0
- step: 2599
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: 7.040797016244148e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
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Model tree for varadsrivastava/muril_large_finetuned
Base model
google/muril-large-cased