End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- go_emotions
+metrics:
+- accuracy
+- f1
+model-index:
+- name: roberta-large-bne-finetuned-go_emotions-es
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: go_emotions
+      type: go_emotions
+      config: simplified
+      split: train
+      args: simplified
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5668425681618294
+    - name: F1
+      type: f1
+      value: 0.5572049178848779
+---
+
+<!-- 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-large-bne-finetuned-go_emotions-es
+
+This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) on the go_emotions dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2457
+- Accuracy: 0.5668
+- F1: 0.5572
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 1.5678        | 1.0   | 9077  | 1.5649          | 0.5671   | 0.5197 |
+| 1.3898        | 2.0   | 18154 | 1.5005          | 0.5776   | 0.5492 |
+| 0.915         | 3.0   | 27231 | 1.8045          | 0.5891   | 0.5692 |
+| 0.5424        | 4.0   | 36308 | 2.8463          | 0.5646   | 0.5519 |
+| 0.2018        | 5.0   | 45385 | 3.2457          | 0.5668   | 0.5572 |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1

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