End of training

README.md

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+---
+license: mit
+base_model: Ariffiq99/KUCI_xlm_roberta_base_Finetuned
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: COPA_KUCI_xlm_roberta_base_finetuned
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# COPA_KUCI_xlm_roberta_base_finetuned
+
+This model is a fine-tuned version of [Ariffiq99/KUCI_xlm_roberta_base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_xlm_roberta_base_Finetuned) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0040
+- F1: 0.676
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| No log        | 1.0   | 250  | 1.2356          | 0.65  |
+| 0.1809        | 2.0   | 500  | 1.5372          | 0.69  |
+| 0.1809        | 3.0   | 750  | 1.9344          | 0.66  |
+| 0.0814        | 4.0   | 1000 | 1.9912          | 0.668 |
+| 0.0814        | 5.0   | 1250 | 2.1587          | 0.682 |
+| 0.2316        | 6.0   | 1500 | 2.0157          | 0.676 |
+| 0.2316        | 7.0   | 1750 | 2.0040          | 0.676 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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