End of training

README.md

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+---
+license: apache-2.0
+base_model: ibaucells/RoBERTa-ca-CaWikiTC
+tags:
+- generated_from_trainer
+model-index:
+- name: test5_balanced
+  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. -->
+
+# test5_balanced
+
+This model is a fine-tuned version of [ibaucells/RoBERTa-ca-CaWikiTC](https://huggingface.co/ibaucells/RoBERTa-ca-CaWikiTC) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6178
+
+## 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: 5e-05
+- train_batch_size: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.767         | 1.0   | 63   | 1.7701          |
+| 0.7145        | 2.0   | 126  | 1.7878          |
+| 0.6274        | 3.0   | 189  | 1.7128          |
+| 0.5223        | 4.0   | 252  | 1.8296          |
+| 0.4235        | 5.0   | 315  | 1.8380          |
+| 0.3006        | 6.0   | 378  | 1.7538          |
+| 0.2062        | 7.0   | 441  | 2.2563          |
+| 0.2264        | 8.0   | 504  | 2.1357          |
+| 0.0617        | 9.0   | 567  | 2.2696          |
+| 0.1367        | 10.0  | 630  | 2.2558          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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