Training done on the second dataset!

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-finetuned-marc-tn-v1.1
+  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-finetuned-marc-tn-v1.1
+
+This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5940
+- Mae: 0.2556
+
+## 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: 13
+- eval_batch_size: 13
+- seed: 42
+- 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 | Mae    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4596        | 1.0   | 3203 | 0.6163          | 0.3195 |
+| 0.3846        | 2.0   | 6406 | 0.5464          | 0.2669 |
+| 0.3193        | 3.0   | 9609 | 0.5940          | 0.2556 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2