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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: rc_gale_control
+  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. -->
+
+# rc_gale_control
+
+This model is a fine-tuned version of [rcgale/psst-apr-baseline](https://huggingface.co/rcgale/psst-apr-baseline) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6660
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 22.794        | 3.33  | 50   | 3.7917          |
+| 3.8262        | 6.67  | 100  | 3.6084          |
+| 3.8023        | 10.0  | 150  | 3.6962          |
+| 3.7283        | 13.33 | 200  | 3.6746          |
+| 3.7173        | 16.67 | 250  | 3.6904          |
+| 3.707         | 20.0  | 300  | 3.6909          |
+| 3.7075        | 23.33 | 350  | 3.6785          |
+| 3.6839        | 26.67 | 400  | 3.6769          |
+| 3.7002        | 30.0  | 450  | 3.6660          |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.2