update model card README.md

README.md

@@ -0,0 +1,55 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: rtmex23-pol2-cardif
+  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. -->
+
+# rtmex23-pol2-cardif
+
+This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.7781
+- eval_f1: 0.6070
+- eval_runtime: 119.5054
+- eval_samples_per_second: 210.283
+- eval_steps_per_second: 26.292
+- epoch: 8.0
+- step: 113088
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 8
+
+### Framework versions
+
+- Transformers 4.29.1
+- Pytorch 1.13.1
+- Datasets 2.12.0
+- Tokenizers 0.13.3