Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- 
+datasets:
+- EXIST Dataset
+metrics:
+- accuracy
+model-index:
+- name: twitter_sexismo-finetuned-exist2021
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: EXIST Dataset
+      type: EXIST Dataset
+      args: es
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.79
+---
+
+# roberta-base-bne-finetuned-amazon_reviews_multi
+
+This model is a fine-tuned version of [pysentimiento/robertuito-hate-speech](https://huggingface.co/pysentimiento/robertuito-hate-speech) on the EXIST dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.40
+- Accuracy: 0.79
+
+## Model description
+
+Modelo de prueba del curso NLP de 0 a 100 sesion 4
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- my_learning_rate = 2E-6 
+- my_adam_epsilon = 1E-8 
+- my_number_of_epochs = 15
+- my_warmup = 3
+- my_mini_batch_size = 32
+- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+======== Epoch 9 / 15 ========
+Training...
+  Batch    50  of    143.    Elapsed: 0:00:48.
+  Batch   100  of    143.    Elapsed: 0:01:37.
+
+  Average training loss: 0.43
+  Training epoch took: 0:02:18
+
+======== Epoch 10 / 15 ========
+Training...
+  Batch    50  of    143.    Elapsed: 0:00:48.
+  Batch   100  of    143.    Elapsed: 0:01:37.
+
+  Average training loss: 0.42
+  Training epoch took: 0:02:18
+
+======== Epoch 11 / 15 ========
+Training...
+  Batch    50  of    143.    Elapsed: 0:00:48.
+  Batch   100  of    143.    Elapsed: 0:01:37.
+
+  Average training loss: 0.42
+  Training epoch took: 0:02:18
+
+======== Epoch 12 / 15 ========
+Training...
+  Batch    50  of    143.    Elapsed: 0:00:48.
+  Batch   100  of    143.    Elapsed: 0:01:37.
+
+  Average training loss: 0.41
+  Training epoch took: 0:02:18
+
+======== Epoch 13 / 15 ========
+Training...
+  Batch    50  of    143.    Elapsed: 0:00:48.
+  Batch   100  of    143.    Elapsed: 0:01:36.
+
+  Average training loss: 0.40
+  Training epoch took: 0:02:18
+
+======== Epoch 14 / 15 ========
+Training...
+  Batch    50  of    143.    Elapsed: 0:00:48.
+  Batch   100  of    143.    Elapsed: 0:01:37.
+
+  Average training loss: 0.40
+  Training epoch took: 0:02:18
+
+======== Epoch 15 / 15 ========
+Training...
+  Batch    50  of    143.    Elapsed: 0:00:48.
+  Batch   100  of    143.    Elapsed: 0:01:36.
+
+  Average training loss: 0.40
+  Training epoch took: 0:02:18
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Tokenizers 0.11.6