Model save

README.md

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+---
+license: apache-2.0
+base_model: GanjinZero/biobart-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: fine-tuned-BioBART-20-epochs-1024-input-128-output
+  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. -->
+
+# fine-tuned-BioBART-20-epochs-1024-input-128-output
+
+This model is a fine-tuned version of [GanjinZero/biobart-base](https://huggingface.co/GanjinZero/biobart-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6050
+- Rouge1: 0.1704
+- Rouge2: 0.0496
+- Rougel: 0.138
+- Rougelsum: 0.1356
+- Gen Len: 34.1
+
+## 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: 0.0001
+- 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
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 151  | 6.5303          | 0.0    | 0.0    | 0.0    | 0.0       | 12.58   |
+| No log        | 2.0   | 302  | 1.9967          | 0.1046 | 0.0318 | 0.0908 | 0.0904    | 26.22   |
+| No log        | 3.0   | 453  | 1.6736          | 0.0447 | 0.0076 | 0.036  | 0.0353    | 15.66   |
+| 4.5402        | 4.0   | 604  | 1.5728          | 0.1397 | 0.0344 | 0.1068 | 0.1079    | 34.51   |
+| 4.5402        | 5.0   | 755  | 1.5231          | 0.1675 | 0.0345 | 0.1325 | 0.1328    | 34.4    |
+| 4.5402        | 6.0   | 906  | 1.4986          | 0.1195 | 0.0287 | 0.0863 | 0.0873    | 38.66   |
+| 1.1958        | 7.0   | 1057 | 1.4791          | 0.1478 | 0.0379 | 0.1172 | 0.1176    | 35.41   |
+| 1.1958        | 8.0   | 1208 | 1.4802          | 0.1459 | 0.0368 | 0.1066 | 0.108     | 32.5    |
+| 1.1958        | 9.0   | 1359 | 1.4841          | 0.1687 | 0.0289 | 0.1342 | 0.1345    | 30.89   |
+| 0.7933        | 10.0  | 1510 | 1.5005          | 0.1457 | 0.035  | 0.1125 | 0.1103    | 34.3    |
+| 0.7933        | 11.0  | 1661 | 1.5101          | 0.1808 | 0.0364 | 0.1498 | 0.1505    | 31.33   |
+| 0.7933        | 12.0  | 1812 | 1.5262          | 0.1882 | 0.0419 | 0.1553 | 0.1549    | 31.65   |
+| 0.7933        | 13.0  | 1963 | 1.5481          | 0.167  | 0.032  | 0.1381 | 0.139     | 31.04   |
+| 0.5232        | 14.0  | 2114 | 1.5494          | 0.1723 | 0.0442 | 0.1407 | 0.138     | 34.88   |
+| 0.5232        | 15.0  | 2265 | 1.5590          | 0.1801 | 0.0318 | 0.142  | 0.1413    | 37.99   |
+| 0.5232        | 16.0  | 2416 | 1.5829          | 0.1608 | 0.0353 | 0.1249 | 0.1249    | 33.97   |
+| 0.3565        | 17.0  | 2567 | 1.5837          | 0.1535 | 0.0354 | 0.1159 | 0.115     | 35.96   |
+| 0.3565        | 18.0  | 2718 | 1.5977          | 0.1565 | 0.0349 | 0.1244 | 0.1227    | 34.29   |
+| 0.3565        | 19.0  | 2869 | 1.6002          | 0.169  | 0.0428 | 0.1358 | 0.1331    | 34.84   |
+| 0.2734        | 20.0  | 3020 | 1.6050          | 0.1704 | 0.0496 | 0.138  | 0.1356    | 34.1    |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+{
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+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 128,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.36.2"
+}

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