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electricidad-small-finetuned-restaurant-sentiment-analysis-usElectionTweets1Jul11Nov-spanish

Text Classification
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electra
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End of training

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  1. README.md +119 -0
  2. pytorch_model.bin +1 -1
  3. runs/Apr27_15-09-52_eacd494c9b5d/events.out.tfevents.1651072242.eacd494c9b5d.73.0 +2 -2
  4. runs/Apr27_15-09-52_eacd494c9b5d/events.out.tfevents.1651078887.eacd494c9b5d.73.2 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: electricidad-small-finetuned-restaurant-sentiment-analysis-usElectionTweets1Jul11Nov-spanish
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # electricidad-small-finetuned-restaurant-sentiment-analysis-usElectionTweets1Jul11Nov-spanish
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+
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+ This model is a fine-tuned version of [mrm8488/electricidad-small-finetuned-restaurant-sentiment-analysis](https://huggingface.co/mrm8488/electricidad-small-finetuned-restaurant-sentiment-analysis) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3534
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+ - Accuracy: 0.7585
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+ - F1: 0.7585
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 60
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 0.8145 | 1.0 | 1222 | 0.7033 | 0.7168 | 0.7168 |
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+ | 0.7016 | 2.0 | 2444 | 0.5936 | 0.7731 | 0.7731 |
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+ | 0.6183 | 3.0 | 3666 | 0.5190 | 0.8046 | 0.8046 |
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+ | 0.5516 | 4.0 | 4888 | 0.4678 | 0.8301 | 0.8301 |
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+ | 0.4885 | 5.0 | 6110 | 0.3670 | 0.8713 | 0.8713 |
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+ | 0.4353 | 6.0 | 7332 | 0.3119 | 0.8987 | 0.8987 |
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+ | 0.3957 | 7.0 | 8554 | 0.2908 | 0.9084 | 0.9084 |
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+ | 0.3386 | 8.0 | 9776 | 0.2108 | 0.9348 | 0.9348 |
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+ | 0.2976 | 9.0 | 10998 | 0.1912 | 0.9422 | 0.9422 |
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+ | 0.2828 | 10.0 | 12220 | 0.1496 | 0.9591 | 0.9591 |
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+ | 0.243 | 11.0 | 13442 | 0.1326 | 0.9639 | 0.9639 |
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+ | 0.2049 | 12.0 | 14664 | 0.1249 | 0.9693 | 0.9693 |
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+ | 0.2041 | 13.0 | 15886 | 0.1049 | 0.9752 | 0.9752 |
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+ | 0.1855 | 14.0 | 17108 | 0.0816 | 0.9798 | 0.9798 |
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+ | 0.1637 | 15.0 | 18330 | 0.0733 | 0.9836 | 0.9836 |
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+ | 0.1531 | 16.0 | 19552 | 0.0577 | 0.9880 | 0.9880 |
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+ | 0.1221 | 17.0 | 20774 | 0.0581 | 0.9895 | 0.9895 |
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+ | 0.1207 | 18.0 | 21996 | 0.0463 | 0.9903 | 0.9903 |
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+ | 0.1152 | 19.0 | 23218 | 0.0472 | 0.9908 | 0.9908 |
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+ | 0.1028 | 20.0 | 24440 | 0.0356 | 0.9936 | 0.9936 |
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+ | 0.1027 | 21.0 | 25662 | 0.0278 | 0.9957 | 0.9957 |
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+ | 0.0915 | 22.0 | 26884 | 0.0344 | 0.9946 | 0.9946 |
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+ | 0.0887 | 23.0 | 28106 | 0.0243 | 0.9954 | 0.9954 |
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+ | 0.0713 | 24.0 | 29328 | 0.0208 | 0.9969 | 0.9969 |
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+ | 0.0749 | 25.0 | 30550 | 0.0198 | 0.9964 | 0.9964 |
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+ | 0.0699 | 26.0 | 31772 | 0.0153 | 0.9969 | 0.9969 |
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+ | 0.0567 | 27.0 | 32994 | 0.0144 | 0.9972 | 0.9972 |
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+ | 0.0613 | 28.0 | 34216 | 0.0105 | 0.9982 | 0.9982 |
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+ | 0.0567 | 29.0 | 35438 | 0.0117 | 0.9982 | 0.9982 |
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+ | 0.0483 | 30.0 | 36660 | 0.0072 | 0.9985 | 0.9985 |
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+ | 0.0469 | 31.0 | 37882 | 0.0063 | 0.9987 | 0.9987 |
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+ | 0.0485 | 32.0 | 39104 | 0.0067 | 0.9985 | 0.9985 |
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+ | 0.0464 | 33.0 | 40326 | 0.0020 | 0.9995 | 0.9995 |
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+ | 0.0472 | 34.0 | 41548 | 0.0036 | 0.9995 | 0.9995 |
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+ | 0.0388 | 35.0 | 42770 | 0.0016 | 0.9995 | 0.9995 |
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+ | 0.0248 | 36.0 | 43992 | 0.0047 | 0.9990 | 0.9990 |
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+ | 0.0396 | 37.0 | 45214 | 0.0004 | 0.9997 | 0.9997 |
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+ | 0.0331 | 38.0 | 46436 | 0.0020 | 0.9995 | 0.9995 |
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+ | 0.0292 | 39.0 | 47658 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0253 | 40.0 | 48880 | 0.0001 | 1.0 | 1.0 |
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+ | 0.0285 | 41.0 | 50102 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0319 | 42.0 | 51324 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0244 | 43.0 | 52546 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0261 | 44.0 | 53768 | 0.0001 | 1.0 | 1.0 |
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+ | 0.0256 | 45.0 | 54990 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0258 | 46.0 | 56212 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0173 | 47.0 | 57434 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0253 | 48.0 | 58656 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0241 | 49.0 | 59878 | 0.0000 | 1.0 | 1.0 |
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+ | 0.019 | 50.0 | 61100 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0184 | 51.0 | 62322 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0139 | 52.0 | 63544 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0159 | 53.0 | 64766 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0119 | 54.0 | 65988 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0253 | 55.0 | 67210 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0166 | 56.0 | 68432 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0125 | 57.0 | 69654 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0155 | 58.0 | 70876 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0106 | 59.0 | 72098 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0083 | 60.0 | 73320 | 0.0000 | 1.0 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.18.0
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.1.0
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+ - Tokenizers 0.12.1
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