Model save

README.md

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+---
+license: apache-2.0
+base_model: GanjinZero/biobart-v2-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: fine-tuned-BioBART-2048-inputs-10-epochs
+  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-2048-inputs-10-epochs
+
+This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7099
+- Rouge1: 0.2904
+- Rouge2: 0.1173
+- Rougel: 0.2687
+- Rougelsum: 0.2692
+- Gen Len: 14.66
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 151  | 0.7536          | 0.2059 | 0.0784 | 0.1881 | 0.1881    | 13.31   |
+| No log        | 2.0   | 302  | 0.7161          | 0.2569 | 0.0831 | 0.2279 | 0.2278    | 13.88   |
+| No log        | 3.0   | 453  | 0.7013          | 0.2322 | 0.0818 | 0.2055 | 0.2059    | 14.57   |
+| 0.7283        | 4.0   | 604  | 0.6976          | 0.2835 | 0.1095 | 0.2585 | 0.2584    | 14.34   |
+| 0.7283        | 5.0   | 755  | 0.7012          | 0.2749 | 0.0921 | 0.2521 | 0.2528    | 14.35   |
+| 0.7283        | 6.0   | 906  | 0.6963          | 0.2957 | 0.1073 | 0.2688 | 0.269     | 14.97   |
+| 0.5246        | 7.0   | 1057 | 0.7043          | 0.2824 | 0.1067 | 0.257  | 0.257     | 14.68   |
+| 0.5246        | 8.0   | 1208 | 0.7043          | 0.292  | 0.1158 | 0.2706 | 0.2722    | 14.16   |
+| 0.5246        | 9.0   | 1359 | 0.7080          | 0.2849 | 0.1087 | 0.2603 | 0.2615    | 14.69   |
+| 0.4414        | 10.0  | 1510 | 0.7099          | 0.2904 | 0.1173 | 0.2687 | 0.2692    | 14.66   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.36.2"
+}

model.safetensors

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runs/Dec27_05-04-43_william-gpu-3090-10-rxldr/events.out.tfevents.1703653484.william-gpu-3090-10-rxldr.71969.0

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