End of training

README.md

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+---
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: distilroberta-base-ft-trueunpopularopinion
+  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. -->
+
+# distilroberta-base-ft-trueunpopularopinion
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7573
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.1573        | 0.39  | 200  | 2.8710          |
+| 3.0025        | 0.78  | 400  | 2.8057          |
+| 2.9495        | 1.16  | 600  | 2.8064          |
+| 2.9423        | 1.55  | 800  | 2.7655          |
+| 2.919         | 1.94  | 1000 | 2.7767          |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

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