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electricidad-small-discriminator-finetuned-clasificacion-texto-suicida

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Librarian Bot: Add base_model information to model

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  1. README.md +71 -72
README.md CHANGED
@@ -1,72 +1,71 @@
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- ---
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- license: afl-3.0
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- language: "es"
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-
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- tags:
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- - generated_from_trainer
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- - sentiment
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- - emotion
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- widget:
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- - text: "La vida no merece la pena"
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- example_title: "Ejemplo 1"
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- - text: "Para vivir así lo mejor es estar muerto"
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- example_title: "Ejemplo 2"
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- - text: "me siento triste por no poder viajar"
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- example_title: "Ejemplo 3"
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- - text: "Quiero terminar con todo"
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- example_title: "Ejemplo 4"
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- - text: "Disfruto de la vista"
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- example_title: "Ejemplo 5"
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-
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- metrics:
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- - accuracy
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- model-index:
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- - name: electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
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- results: []
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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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- # electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
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- This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0458
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- - Accuracy: 0.9916
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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- ### Training hyperparameters
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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: 32
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- - eval_batch_size: 32
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- - lr_scheduler_type: linear
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- - num_epochs: 15
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- ### Training results
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- | Training Loss | Epoch | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:---------------:|:--------:|
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- | 0.161100 | 1.0 | 0.133057 | 0.952718 |
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- | 0.134500 | 2.0 | 0.110966 | 0.960804 |
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- | 0.108500 | 3.0 | 0.086417 | 0.970835 |
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- | 0.099400 | 4.0 | 0.073618 | 0.974856 |
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- | 0.090500 | 5.0 | 0.065231 | 0.979629 |
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- | 0.080700 | 6.0 | 0.060849 | 0.982324 |
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- | 0.069200 | 7.0 | 0.054718 | 0.986125 |
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- | 0.060400 | 8.0 | 0.051153 | 0.985948 |
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- | 0.048200 | 9.0 | 0.045747 | 0.989748 |
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- | 0.045500 | 10.0 | 0.049992 | 0.988069 |
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- | 0.043400 | 11.0 | 0.046325 | 0.990234 |
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- | 0.034300 | 12.0 | 0.050746 | 0.989792 |
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- | 0.032900 | 13.0 | 0.043434 | 0.991737 |
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- | 0.028400 | 14.0 | 0.045003 | 0.991869 |
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- | 0.022300 | 15.0 | 0.045819 | 0.991648 |
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-
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-
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- ### Framework versions
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- - Transformers 4.17.0
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- - Pytorch 1.10.0+cu111
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- - Datasets 2.0.0
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- - Tokenizers 0.11.6
 
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+ ---
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+ language: es
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+ license: afl-3.0
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+ tags:
5
+ - generated_from_trainer
6
+ - sentiment
7
+ - emotion
8
+ metrics:
9
+ - accuracy
10
+ widget:
11
+ - text: La vida no merece la pena
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+ example_title: Ejemplo 1
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+ - text: Para vivir así lo mejor es estar muerto
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+ example_title: Ejemplo 2
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+ - text: me siento triste por no poder viajar
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+ example_title: Ejemplo 3
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+ - text: Quiero terminar con todo
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+ example_title: Ejemplo 4
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+ - text: Disfruto de la vista
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+ example_title: Ejemplo 5
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+ base_model: mrm8488/electricidad-small-discriminator
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+ model-index:
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+ - name: electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
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+ results: []
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+ ---
26
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
27
+ should probably proofread and complete it, then remove this comment. -->
28
+ # electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
29
+ This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on an unknown dataset.
30
+ It achieves the following results on the evaluation set:
31
+ - Loss: 0.0458
32
+ - Accuracy: 0.9916
33
+ ## Model description
34
+ More information needed
35
+ ## Intended uses & limitations
36
+ More information needed
37
+ ## Training and evaluation data
38
+ More information needed
39
+ ## Training procedure
40
+ ### Training hyperparameters
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 2e-05
43
+ - train_batch_size: 32
44
+ - eval_batch_size: 32
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 15
47
+ ### Training results
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+ | Training Loss | Epoch | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:---------------:|:--------:|
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+ | 0.161100 | 1.0 | 0.133057 | 0.952718 |
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+ | 0.134500 | 2.0 | 0.110966 | 0.960804 |
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+ | 0.108500 | 3.0 | 0.086417 | 0.970835 |
53
+ | 0.099400 | 4.0 | 0.073618 | 0.974856 |
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+ | 0.090500 | 5.0 | 0.065231 | 0.979629 |
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+ | 0.080700 | 6.0 | 0.060849 | 0.982324 |
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+ | 0.069200 | 7.0 | 0.054718 | 0.986125 |
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+ | 0.060400 | 8.0 | 0.051153 | 0.985948 |
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+ | 0.048200 | 9.0 | 0.045747 | 0.989748 |
59
+ | 0.045500 | 10.0 | 0.049992 | 0.988069 |
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+ | 0.043400 | 11.0 | 0.046325 | 0.990234 |
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+ | 0.034300 | 12.0 | 0.050746 | 0.989792 |
62
+ | 0.032900 | 13.0 | 0.043434 | 0.991737 |
63
+ | 0.028400 | 14.0 | 0.045003 | 0.991869 |
64
+ | 0.022300 | 15.0 | 0.045819 | 0.991648 |
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+
66
+
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+ ### Framework versions
68
+ - Transformers 4.17.0
69
+ - Pytorch 1.10.0+cu111
70
+ - Datasets 2.0.0
71
+ - Tokenizers 0.11.6