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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: plbart-base-finetuned-src_fm_fc_ms_ff-to-test
+  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. -->
+
+# plbart-base-finetuned-src_fm_fc_ms_ff-to-test
+
+This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2093
+
+## 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: 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3796        | 1.0   | 1125 | 0.2741          |
+| 0.2482        | 2.0   | 2250 | 0.2372          |
+| 0.2077        | 3.0   | 3375 | 0.2200          |
+| 0.1841        | 4.0   | 4500 | 0.2121          |
+| 0.1704        | 5.0   | 5625 | 0.2093          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2