End of training

README.md

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+---
+license: apache-2.0
+base_model: BSC-TeMU/roberta-base-bne
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-base-bne-finetuned-detests-ini
+  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. -->
+
+# roberta-base-bne-finetuned-detests-ini
+
+This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9922
+- Accuracy: 0.8576
+
+## 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: 2e-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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3505        | 1.0   | 153  | 0.3533          | 0.8380   |
+| 0.3031        | 2.0   | 306  | 0.3637          | 0.8363   |
+| 0.0623        | 3.0   | 459  | 0.6493          | 0.8560   |
+| 0.0011        | 4.0   | 612  | 0.8077          | 0.8642   |
+| 0.0003        | 5.0   | 765  | 0.9070          | 0.8625   |
+| 0.0002        | 6.0   | 918  | 0.9381          | 0.8625   |
+| 0.0002        | 7.0   | 1071 | 0.9621          | 0.8592   |
+| 0.0001        | 8.0   | 1224 | 0.9787          | 0.8592   |
+| 0.0001        | 9.0   | 1377 | 0.9888          | 0.8576   |
+| 0.0001        | 10.0  | 1530 | 0.9922          | 0.8576   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

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