End of training

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: v9_checkpoints
+  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. -->
+
+# v9_checkpoints
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6931
+- Accuracy: 0.4851
+
+## 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: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6962        | 1.0   | 746  | 0.6931          | 0.5478   |
+| 0.6971        | 2.0   | 1492 | 0.6931          | 0.5350   |
+| 0.6958        | 3.0   | 2238 | 0.6931          | 0.5538   |
+| 0.6951        | 4.0   | 2984 | 0.6931          | 0.5595   |
+| 0.6953        | 5.0   | 3730 | 0.6931          | 0.5360   |
+| 0.6959        | 6.0   | 4476 | 0.6931          | 0.4509   |
+| 0.6957        | 7.0   | 5222 | 0.6931          | 0.5357   |
+| 0.6939        | 8.0   | 5968 | 0.6931          | 0.5273   |
+| 0.6946        | 9.0   | 6714 | 0.6931          | 0.4495   |
+| 0.6941        | 10.0  | 7460 | 0.6931          | 0.4851   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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