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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: da_sent_xlm
+  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. -->
+
+# da_sent_xlm
+
+This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.7489
+- eval_accuracy: 0.6404
+- eval_runtime: 1.9816
+- eval_samples_per_second: 217.501
+- eval_steps_per_second: 27.251
+- step: 0
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Framework versions
+
+- Transformers 4.24.0.dev0
+- Pytorch 1.12.1
+- Datasets 2.6.1
+- Tokenizers 0.12.1

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