fredymad
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robertuito_Pfinal

Text Classification

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text-embeddings-inference

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fredymad commited on Jun 2, 2023

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update model card README.md

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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [pysentimiento/robertuito-base-uncased](https://huggingface.co/pysentimiento/robertuito-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2042
-- F1: 0.7812
 ## Model description
@@ -47,13 +47,13 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2255        | 1.0   | 669  | 0.1764          | 0.7595 |
-| 0.1536        | 2.0   | 1338 | 0.2042          | 0.7812 |
 ### Framework versions
 - Transformers 4.28.0
-- Pytorch 2.0.1+cu117
 - Datasets 2.12.0
 - Tokenizers 0.13.3

 This model is a fine-tuned version of [pysentimiento/robertuito-base-uncased](https://huggingface.co/pysentimiento/robertuito-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2105
+- F1: 0.7639
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2254        | 1.0   | 669  | 0.1746          | 0.7618 |
+| 0.1557        | 2.0   | 1338 | 0.2105          | 0.7639 |
 ### Framework versions
 - Transformers 4.28.0
+- Pytorch 1.13.1+cu117
 - Datasets 2.12.0
 - Tokenizers 0.13.3