update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: my-finetuned-xml-roberta4
+  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. -->
+
+# my-finetuned-xml-roberta4
+
+This model is a fine-tuned version of [knurm/xlm-roberta-base-finetuned-est](https://huggingface.co/knurm/xlm-roberta-base-finetuned-est) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.7709
+
+## 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: 7
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.4629        | 1.0   | 5652  | 3.3367          |
+| 3.1814        | 2.0   | 11304 | 3.2952          |
+| 2.9718        | 3.0   | 16956 | 3.2592          |
+| 2.7442        | 4.0   | 22608 | 3.3133          |
+| 2.5991        | 5.0   | 28260 | 3.4292          |
+| 2.4221        | 6.0   | 33912 | 3.5928          |
+| 2.3259        | 7.0   | 39564 | 3.7709          |
+
+
+### Framework versions
+
+- Transformers 4.19.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.1
+- Tokenizers 0.12.1