End of training

README.md

@@ -2,9 +2,6 @@
 base_model: google/muril-large-cased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: muril_large_finetuned
   results: []
@@ -17,9 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/muril-large-cased](https://huggingface.co/google/muril-large-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7548
-- Accuracy: 0.7359
-- F1: 0.6026
+- 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
 
@@ -40,19 +42,11 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 7.040797016244148e-06
 - train_batch_size: 4
-- eval_batch_size: 8
+- eval_batch_size: 4
 - seed: 6
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7106        | 1.0   | 2599 | 0.7548          | 0.7359   | 0.6026 |
-| 0.6588        | 2.0   | 5198 | 0.7949          | 0.7342   | 0.6041 |
-
+- num_epochs: 1
 
 ### Framework versions
 

model.safetensors

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training_args.bin

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