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my-model-Bertin-Area

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lBober/my-model-Bertin-Area

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  1. README.md +26 -26
  2. model.safetensors +1 -1
  3. runs/May27_08-21-38_ebad249b5c71/events.out.tfevents.1716798099.ebad249b5c71.12220.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: cc-by-4.0
 
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  tags:
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  - generated_from_trainer
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- base_model: bertin-project/bertin-roberta-base-spanish
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  metrics:
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  - accuracy
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  - f1
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0081
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- - Accuracy: 0.5540
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- - F1: 0.5447
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- - Precision: 0.6083
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- - Recall: 0.5540
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  ## Model description
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@@ -55,26 +55,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 1.8057 | 1.0 | 22 | 1.6694 | 0.3094 | 0.1478 | 0.0971 | 0.3094 |
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- | 1.6881 | 2.0 | 44 | 1.5645 | 0.3741 | 0.2735 | 0.2381 | 0.3741 |
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- | 1.4559 | 3.0 | 66 | 1.3527 | 0.5612 | 0.4682 | 0.4308 | 0.5612 |
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- | 1.0349 | 4.0 | 88 | 1.2698 | 0.5108 | 0.4710 | 0.5251 | 0.5108 |
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- | 0.5922 | 5.0 | 110 | 1.3228 | 0.5396 | 0.5357 | 0.5761 | 0.5396 |
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- | 0.3388 | 6.0 | 132 | 1.3421 | 0.5324 | 0.5465 | 0.6025 | 0.5324 |
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- | 0.1581 | 7.0 | 154 | 1.6898 | 0.5396 | 0.5210 | 0.6214 | 0.5396 |
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- | 0.0756 | 8.0 | 176 | 1.5726 | 0.5971 | 0.5805 | 0.5852 | 0.5971 |
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- | 0.0485 | 9.0 | 198 | 1.6224 | 0.5971 | 0.6071 | 0.6341 | 0.5971 |
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- | 0.0238 | 10.0 | 220 | 1.9468 | 0.5683 | 0.5592 | 0.6588 | 0.5683 |
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- | 0.0111 | 11.0 | 242 | 1.8085 | 0.5540 | 0.5505 | 0.5994 | 0.5540 |
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- | 0.0043 | 12.0 | 264 | 1.7379 | 0.5755 | 0.5672 | 0.6076 | 0.5755 |
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- | 0.0029 | 13.0 | 286 | 1.9594 | 0.5612 | 0.5527 | 0.6202 | 0.5612 |
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- | 0.0024 | 14.0 | 308 | 2.0399 | 0.5683 | 0.5606 | 0.6429 | 0.5683 |
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- | 0.0021 | 15.0 | 330 | 1.9871 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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- | 0.002 | 16.0 | 352 | 1.9870 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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- | 0.0018 | 17.0 | 374 | 1.9927 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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- | 0.0018 | 18.0 | 396 | 2.0027 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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- | 0.0017 | 19.0 | 418 | 2.0077 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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- | 0.0017 | 20.0 | 440 | 2.0081 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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  ### Framework versions
 
1
  ---
2
  license: cc-by-4.0
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+ base_model: bertin-project/bertin-roberta-base-spanish
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  tags:
5
  - generated_from_trainer
 
6
  metrics:
7
  - accuracy
8
  - f1
 
20
 
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.1711
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+ - Accuracy: 0.4903
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+ - F1: 0.4767
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+ - Precision: 0.5366
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+ - Recall: 0.4903
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 1.8349 | 1.0 | 25 | 1.7703 | 0.3032 | 0.2608 | 0.2991 | 0.3032 |
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+ | 1.7709 | 2.0 | 50 | 1.7153 | 0.3355 | 0.2347 | 0.2079 | 0.3355 |
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+ | 1.7315 | 3.0 | 75 | 1.6515 | 0.3613 | 0.2934 | 0.2937 | 0.3613 |
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+ | 1.596 | 4.0 | 100 | 1.6332 | 0.3871 | 0.3405 | 0.3123 | 0.3871 |
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+ | 1.3388 | 5.0 | 125 | 1.6449 | 0.4065 | 0.3298 | 0.2900 | 0.4065 |
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+ | 1.0783 | 6.0 | 150 | 1.5722 | 0.4581 | 0.3797 | 0.3760 | 0.4581 |
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+ | 0.8663 | 7.0 | 175 | 1.6593 | 0.3935 | 0.3563 | 0.3490 | 0.3935 |
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+ | 0.6118 | 8.0 | 200 | 1.9177 | 0.4581 | 0.4481 | 0.4658 | 0.4581 |
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+ | 0.4206 | 9.0 | 225 | 2.2944 | 0.4065 | 0.3920 | 0.4286 | 0.4065 |
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+ | 0.3375 | 10.0 | 250 | 2.2870 | 0.4387 | 0.4359 | 0.4889 | 0.4387 |
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+ | 0.2334 | 11.0 | 275 | 2.4912 | 0.4065 | 0.4015 | 0.4546 | 0.4065 |
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+ | 0.1618 | 12.0 | 300 | 2.5429 | 0.4710 | 0.4499 | 0.5204 | 0.4710 |
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+ | 0.1238 | 13.0 | 325 | 2.7109 | 0.4710 | 0.4458 | 0.5135 | 0.4710 |
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+ | 0.0906 | 14.0 | 350 | 2.8377 | 0.4774 | 0.4594 | 0.5092 | 0.4774 |
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+ | 0.071 | 15.0 | 375 | 3.0123 | 0.4839 | 0.4656 | 0.5461 | 0.4839 |
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+ | 0.0498 | 16.0 | 400 | 3.0204 | 0.4710 | 0.4517 | 0.4959 | 0.4710 |
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+ | 0.0416 | 17.0 | 425 | 3.0939 | 0.4839 | 0.4622 | 0.5107 | 0.4839 |
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+ | 0.0281 | 18.0 | 450 | 3.0979 | 0.4903 | 0.4793 | 0.5281 | 0.4903 |
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+ | 0.0226 | 19.0 | 475 | 3.1622 | 0.4839 | 0.4708 | 0.5202 | 0.4839 |
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+ | 0.0185 | 20.0 | 500 | 3.1711 | 0.4903 | 0.4767 | 0.5366 | 0.4903 |
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  ### Framework versions
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