End of training

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- go_emotions
+metrics:
+- accuracy
+- f1
+model-index:
+- name: electricidad-base-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: 0.5934476693051891
+    - name: F1
+      type: f1
+      value: 0.5806237685841615
+---
+
+<!-- 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. -->
+
+# electricidad-base-finetuned-go_emotions-es
+
+This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the go_emotions dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5111
+- Accuracy: 0.5934
+- F1: 0.5806
+
+## 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: 64
+- 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     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 1.729         | 1.0   | 2270  | 1.5835          | 0.5578   | 0.5044 |
+| 1.4432        | 2.0   | 4540  | 1.4529          | 0.5842   | 0.5538 |
+| 1.2688        | 3.0   | 6810  | 1.4445          | 0.5945   | 0.5770 |
+| 1.1017        | 4.0   | 9080  | 1.4804          | 0.5937   | 0.5781 |
+| 0.9999        | 5.0   | 11350 | 1.5111          | 0.5934   | 0.5806 |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1

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