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muril_large_finetuned

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End of training

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  1. README.md +10 -16
  2. model.safetensors +1 -1
  3. runs/Jul03_17-04-20_8f3a84040cb3/events.out.tfevents.1720028350.8f3a84040cb3.32113.21 +2 -2
  4. runs/Jul03_18-11-11_8f3a84040cb3/events.out.tfevents.1720030272.8f3a84040cb3.180052.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -2,9 +2,6 @@
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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: []
@@ -17,9 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
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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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- - Loss: 0.7548
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- - Accuracy: 0.7359
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- - F1: 0.6026
 
 
 
 
 
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  ## Model description
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@@ -40,19 +42,11 @@ More information needed
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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: 8
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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: 2
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-
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- ### Training results
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-
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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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-
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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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