End of training

README.md

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+---
+license: mit
+base_model: Ariffiq99/CRAB_xlm_roberta_large_finetuned
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: COPA_CRAB_xlm_roberta_large_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_CRAB_xlm_roberta_large_finetuned
+
+This model is a fine-tuned version of [Ariffiq99/CRAB_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/CRAB_xlm_roberta_large_finetuned) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6929
+- F1: 0.496
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| No log        | 1.0   | 63   | 0.6938          | 0.538 |
+| No log        | 2.0   | 126  | 0.6944          | 0.49  |
+| No log        | 3.0   | 189  | 0.6926          | 0.522 |
+| No log        | 4.0   | 252  | 0.6934          | 0.492 |
+| No log        | 5.0   | 315  | 0.6928          | 0.506 |
+| No log        | 6.0   | 378  | 0.6945          | 0.502 |
+| No log        | 7.0   | 441  | 0.6940          | 0.476 |
+| 0.7077        | 8.0   | 504  | 0.6938          | 0.528 |
+| 0.7077        | 9.0   | 567  | 0.6935          | 0.488 |
+| 0.7077        | 10.0  | 630  | 0.6929          | 0.496 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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