update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: xlm-r-base-amazon-massive-intent-finetuned-clinc150
+  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-finetuned-clinc150
+
+This model is a fine-tuned version of [cartesinus/xlm-r-base-amazon-massive-intent](https://huggingface.co/cartesinus/xlm-r-base-amazon-massive-intent) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.1288
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 8.2968        | 1.0   | 342  | 6.6373          |
+| 6.5252        | 2.0   | 684  | 6.2325          |
+| 6.2546        | 3.0   | 1026 | 6.1037          |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3