update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: xlm-roberta-base-finetuned-ecoicop
+  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. -->
+
+# xlm-roberta-base-finetuned-ecoicop
+
+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: 0.1685
+- Acc: 0.9659
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Acc    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.4224        | 1.0   | 2577  | 0.3612          | 0.9132 |
+| 0.2313        | 2.0   | 5154  | 0.2510          | 0.9441 |
+| 0.1746        | 3.0   | 7731  | 0.1928          | 0.9569 |
+| 0.1325        | 4.0   | 10308 | 0.1731          | 0.9640 |
+| 0.0946        | 5.0   | 12885 | 0.1685          | 0.9659 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.9.0+cu111
+- Datasets 1.14.0
+- Tokenizers 0.10.3