update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: xlmr-base-texas-squad-es
+  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. -->
+
+# xlmr-base-texas-squad-es
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5504
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.0645        | 0.24  | 1000  | 1.7915          |
+| 1.8458        | 0.47  | 2000  | 1.7873          |
+| 1.8208        | 0.71  | 3000  | 1.6628          |
+| 1.7743        | 0.95  | 4000  | 1.5684          |
+| 1.5636        | 1.18  | 5000  | 1.5686          |
+| 1.6017        | 1.42  | 6000  | 1.5484          |
+| 1.6271        | 1.66  | 7000  | 1.5173          |
+| 1.5975        | 1.89  | 8000  | 1.5209          |
+| 1.477         | 2.13  | 9000  | 1.5766          |
+| 1.4389        | 2.37  | 10000 | 1.5392          |
+| 1.3389        | 2.6   | 11000 | 1.5298          |
+| 1.437         | 2.84  | 12000 | 1.5504          |
+
+
+### Framework versions
+
+- Transformers 4.12.2
+- Pytorch 1.8.1+cu101
+- Datasets 1.12.1
+- Tokenizers 0.10.3