update model card README.md

README.md

@@ -0,0 +1,66 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: xlm-r-base-amazon-massive-intent-label_smoothing
+  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-r-base-amazon-massive-intent-label_smoothing
+
+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: 2.5148
+- Accuracy: 0.8879
+- F1: 0.8879
+
+## 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
+- label_smoothing_factor: 0.4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 3.3945        | 1.0   | 720  | 2.7175          | 0.7900   | 0.7900 |
+| 2.7629        | 2.0   | 1440 | 2.5660          | 0.8549   | 0.8549 |
+| 2.5143        | 3.0   | 2160 | 2.5389          | 0.8711   | 0.8711 |
+| 2.4678        | 4.0   | 2880 | 2.5172          | 0.8883   | 0.8883 |
+| 2.4187        | 5.0   | 3600 | 2.5148          | 0.8879   | 0.8879 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.0
+- Tokenizers 0.13.2