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-2
+  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: 0.5591468777484608
+    - name: F1
+      type: f1
+      value: 0.5581665299693344
+---
+
+<!-- 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-2
+
+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: 2.0837
+- Accuracy: 0.5591
+- F1: 0.5582
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 1.7525        | 1.0   | 2270  | 1.6088          | 0.5618   | 0.5076 |
+| 1.4522        | 2.0   | 4540  | 1.4687          | 0.5807   | 0.5534 |
+| 1.2798        | 3.0   | 6810  | 1.4550          | 0.5910   | 0.5773 |
+| 1.0825        | 4.0   | 9080  | 1.5068          | 0.5873   | 0.5726 |
+| 0.9214        | 5.0   | 11350 | 1.6168          | 0.5776   | 0.5743 |
+| 0.7696        | 6.0   | 13620 | 1.7338          | 0.5776   | 0.5722 |
+| 0.6688        | 7.0   | 15890 | 1.8733          | 0.5631   | 0.5596 |
+| 0.553         | 8.0   | 18160 | 1.9571          | 0.5574   | 0.5591 |
+| 0.4626        | 9.0   | 20430 | 2.0499          | 0.5646   | 0.5625 |
+| 0.4399        | 10.0  | 22700 | 2.0837          | 0.5591   | 0.5582 |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1

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