End of training

README.md

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+---
+base_model: razent/SciFive-base-Pubmed_PMC
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: scifive_two_epoch
+  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. -->
+
+# scifive_two_epoch
+
+This model is a fine-tuned version of [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4216
+- Rouge1: 0.2455
+- Rouge2: 0.1267
+- Rougel: 0.2168
+- Rougelsum: 0.2164
+- Gen Len: 16.81
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 213  | 2.5335          | 0.1306 | 0.0622 | 0.1211 | 0.1206    | 14.4    |
+| No log        | 2.0   | 426  | 2.4216          | 0.2455 | 0.1267 | 0.2168 | 0.2164    | 16.81   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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