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README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finetuned-model
+  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. -->
+
+# finetuned-model
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1941
+- Accuracy: 0.6047
+
+## 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: 64
+- eval_batch_size: 64
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 99   | 0.8847          | 0.6028   |
+| No log        | 2.0   | 198  | 0.8396          | 0.6180   |
+| No log        | 3.0   | 297  | 0.8832          | 0.5952   |
+| No log        | 4.0   | 396  | 0.8900          | 0.6174   |
+| No log        | 5.0   | 495  | 0.9782          | 0.625    |
+| No log        | 6.0   | 594  | 1.0478          | 0.6193   |
+| No log        | 7.0   | 693  | 1.0683          | 0.6015   |
+| No log        | 8.0   | 792  | 1.1001          | 0.5984   |
+| No log        | 9.0   | 891  | 1.1578          | 0.6155   |
+| No log        | 10.0  | 990  | 1.1941          | 0.6047   |
+
+
+### Framework versions
+
+- Transformers 4.16.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.1
+- Tokenizers 0.11.0