End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: electricidad-small-discriminator-finetuned-usElectionTweets1Jul11Nov-spanish
+  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. -->
+
+# electricidad-small-discriminator-finetuned-usElectionTweets1Jul11Nov-spanish
+
+This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1726
+- Accuracy: 0.7483
+- F1: 0.7483
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.925         | 1.0   | 1222  | 0.7993          | 0.6779   | 0.6779 |
+| 0.7624        | 2.0   | 2444  | 0.6550          | 0.7409   | 0.7409 |
+| 0.6442        | 3.0   | 3666  | 0.5699          | 0.7813   | 0.7813 |
+| 0.5843        | 4.0   | 4888  | 0.5064          | 0.8099   | 0.8099 |
+| 0.5355        | 5.0   | 6110  | 0.4266          | 0.8470   | 0.8470 |
+| 0.4697        | 6.0   | 7332  | 0.3900          | 0.8619   | 0.8619 |
+| 0.4214        | 7.0   | 8554  | 0.3775          | 0.8657   | 0.8657 |
+| 0.4           | 8.0   | 9776  | 0.3037          | 0.8987   | 0.8987 |
+| 0.3537        | 9.0   | 10998 | 0.2824          | 0.9120   | 0.9120 |
+| 0.3192        | 10.0  | 12220 | 0.2157          | 0.9327   | 0.9327 |
+| 0.2983        | 11.0  | 13442 | 0.1769          | 0.9483   | 0.9483 |
+| 0.2653        | 12.0  | 14664 | 0.1630          | 0.9527   | 0.9527 |
+| 0.2454        | 13.0  | 15886 | 0.1549          | 0.9573   | 0.9573 |
+| 0.2293        | 14.0  | 17108 | 0.1396          | 0.9632   | 0.9632 |
+| 0.211         | 15.0  | 18330 | 0.1378          | 0.9642   | 0.9642 |
+| 0.2096        | 16.0  | 19552 | 0.1285          | 0.9673   | 0.9673 |
+| 0.1934        | 17.0  | 20774 | 0.1209          | 0.9713   | 0.9713 |
+| 0.1679        | 18.0  | 21996 | 0.1103          | 0.9747   | 0.9747 |
+| 0.1782        | 19.0  | 23218 | 0.1054          | 0.9747   | 0.9747 |
+| 0.1647        | 20.0  | 24440 | 0.1048          | 0.9749   | 0.9749 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.1.0
+- Tokenizers 0.12.1

runs/Apr24_00-08-15_7c28cec28056/events.out.tfevents.1650758921.7c28cec28056.2876.0

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