End of training

README.md

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+---
+license: apache-2.0
+base_model: BSC-TeMU/roberta-base-bne
+tags:
+- generated_from_trainer
+datasets:
+- multilingual-sentiments
+metrics:
+- accuracy
+model-index:
+- name: roberta-base-bne-finetuned-amazon_reviews_multi
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: multilingual-sentiments
+      type: multilingual-sentiments
+      config: spanish
+      split: validation
+      args: spanish
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6882716049382716
+---
+
+<!-- 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-amazon_reviews_multi
+
+This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the multilingual-sentiments dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6935
+- Accuracy: 0.6883
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.786         | 1.0   | 115  | 0.6998          | 0.6914   |
+| 0.474         | 2.0   | 230  | 0.6935          | 0.6883   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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