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End of training
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README.md
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base_model: google/muril-large-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: muril_large_finetuned
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results: []
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This model is a fine-tuned version of [google/muril-large-cased](https://huggingface.co/google/muril-large-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 7.040797016244148e-06
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- train_batch_size: 4
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- eval_batch_size:
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- seed: 6
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.7106 | 1.0 | 2599 | 0.7548 | 0.7359 | 0.6026 |
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| 0.6588 | 2.0 | 5198 | 0.7949 | 0.7342 | 0.6041 |
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### Framework versions
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base_model: google/muril-large-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: muril_large_finetuned
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results: []
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This model is a fine-tuned version of [google/muril-large-cased](https://huggingface.co/google/muril-large-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.7227
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- eval_accuracy: 0.7333
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- eval_f1: 0.6131
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- eval_runtime: 9.413
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- eval_samples_per_second: 122.703
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- eval_steps_per_second: 30.702
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- epoch: 1.0
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- step: 2599
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 7.040797016244148e-06
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 6
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Framework versions
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model.safetensors
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training_args.bin
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