End of training

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: BLESSRelationTrain-2
+  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. -->
+
+# BLESSRelationTrain-2
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6932
+- Accuracy: 0.5
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.8   | 100  | 0.6950          | 0.5      |
+| No log        | 1.6   | 200  | 0.6936          | 0.5      |
+| No log        | 2.4   | 300  | 0.6954          | 0.5      |
+| No log        | 3.2   | 400  | 0.7268          | 0.5      |
+| 0.699         | 4.0   | 500  | 0.6967          | 0.5      |
+| 0.699         | 4.8   | 600  | 0.6940          | 0.5      |
+| 0.699         | 5.6   | 700  | 0.6932          | 0.5      |
+| 0.699         | 6.4   | 800  | 0.6943          | 0.5      |
+| 0.699         | 7.2   | 900  | 0.6939          | 0.5      |
+| 0.6965        | 8.0   | 1000 | 0.6932          | 0.5      |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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