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_five_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_five_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: 2.1218
+- Rouge1: 0.3765
+- Rouge2: 0.214
+- Rougel: 0.3144
+- Rougelsum: 0.3146
+- Gen Len: 17.78
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 213  | 2.4847          | 0.2245 | 0.1102 | 0.1992 | 0.1996    | 15.8    |
+| No log        | 2.0   | 426  | 2.2700          | 0.309  | 0.1671 | 0.2616 | 0.2609    | 17.61   |
+| 2.4677        | 3.0   | 639  | 2.1797          | 0.345  | 0.1914 | 0.2891 | 0.2889    | 17.85   |
+| 2.4677        | 4.0   | 852  | 2.1419          | 0.3665 | 0.2104 | 0.3063 | 0.3067    | 17.67   |
+| 1.9093        | 5.0   | 1065 | 2.1218          | 0.3765 | 0.214  | 0.3144 | 0.3146    | 17.78   |
+
+
+### 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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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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