End of training

README.md

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+---
+base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
+tags:
+- generated_from_trainer
+model-index:
+- name: twitter-xlm-roberta-base-sentiment
+  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. -->
+
+# twitter-xlm-roberta-base-sentiment
+
+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:
+- Loss: 0.6716
+- Rmse: 0.7078
+
+## 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: 5e-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
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.7639        | 1.0   | 500  | 0.7273          | 0.7639 |
+| 0.6884        | 2.0   | 1000 | 0.6900          | 0.7580 |
+| 0.6088        | 3.0   | 1500 | 0.6716          | 0.7078 |
+| 0.4964        | 4.0   | 2000 | 0.6728          | 0.6826 |
+| 0.3749        | 5.0   | 2500 | 0.8286          | 0.6753 |
+| 0.2813        | 6.0   | 3000 | 0.9432          | 0.6968 |
+| 0.2173        | 7.0   | 3500 | 1.2781          | 0.7235 |
+| 0.1764        | 8.0   | 4000 | 1.3567          | 0.7221 |
+| 0.122         | 9.0   | 4500 | 1.5207          | 0.7004 |
+| 0.0946        | 10.0  | 5000 | 1.5687          | 0.6996 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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