update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: roberta-finetuned-WebClassification-v2-smalllinguaESv2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# roberta-finetuned-WebClassification-v2-smalllinguaESv2
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3862
+- Accuracy: 0.6909
+- F1: 0.6909
+- Precision: 0.6909
+- Recall: 0.6909
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 28   | 2.9841          | 0.2      | 0.2000 | 0.2       | 0.2    |
+| No log        | 2.0   | 56   | 2.8109          | 0.1636   | 0.1636 | 0.1636    | 0.1636 |
+| No log        | 3.0   | 84   | 2.5334          | 0.3455   | 0.3455 | 0.3455    | 0.3455 |
+| No log        | 4.0   | 112  | 2.1164          | 0.5273   | 0.5273 | 0.5273    | 0.5273 |
+| No log        | 5.0   | 140  | 1.9152          | 0.5818   | 0.5818 | 0.5818    | 0.5818 |
+| No log        | 6.0   | 168  | 1.6678          | 0.6182   | 0.6182 | 0.6182    | 0.6182 |
+| No log        | 7.0   | 196  | 1.5647          | 0.6545   | 0.6545 | 0.6545    | 0.6545 |
+| No log        | 8.0   | 224  | 1.4473          | 0.6727   | 0.6727 | 0.6727    | 0.6727 |
+| No log        | 9.0   | 252  | 1.3862          | 0.6909   | 0.6909 | 0.6909    | 0.6909 |
+| No log        | 10.0  | 280  | 1.3647          | 0.6909   | 0.6909 | 0.6909    | 0.6909 |
+
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3