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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: TestHelsinkimulEnJpTh02
+  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. -->
+
+# TestHelsinkimulEnJpTh02
+
+This model is a fine-tuned version of [Shularp/TestHelsinkimulEnJpTh02](https://huggingface.co/Shularp/TestHelsinkimulEnJpTh02) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4271
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.8365        | 1.0   | 4846  | 0.7700          |
+| 0.2067        | 2.0   | 9692  | 0.5800          |
+| 0.2251        | 3.0   | 14538 | 0.4836          |
+| 0.1839        | 4.0   | 19384 | 0.4436          |
+| 0.2445        | 5.0   | 24230 | 0.4271          |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3