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_seven_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_seven_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: 2.0288
+- Rouge1: 0.3688
+- Rouge2: 0.2175
+- Rougel: 0.3151
+- Rougelsum: 0.3142
+- Gen Len: 17.8
+
+## 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: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 213  | 2.4562          | 0.2339 | 0.1185 | 0.2017 | 0.2029    | 15.98   |
+| No log        | 2.0   | 426  | 2.2406          | 0.3206 | 0.1828 | 0.2827 | 0.283     | 17.76   |
+| 2.4493        | 3.0   | 639  | 2.1363          | 0.3769 | 0.2128 | 0.3129 | 0.3127    | 17.8    |
+| 2.4493        | 4.0   | 852  | 2.0885          | 0.3667 | 0.2127 | 0.312  | 0.312     | 17.84   |
+| 1.8621        | 5.0   | 1065 | 2.0561          | 0.3808 | 0.2232 | 0.3249 | 0.3236    | 17.84   |
+| 1.8621        | 6.0   | 1278 | 2.0343          | 0.3686 | 0.2183 | 0.3167 | 0.3164    | 17.93   |
+| 1.8621        | 7.0   | 1491 | 2.0288          | 0.3688 | 0.2175 | 0.3151 | 0.3142    | 17.8    |
+
+
+### 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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