End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Falconsai/medical_summarization
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: medical_summarization-finetuned-Medical-summary
+  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. -->
+
+# medical_summarization-finetuned-Medical-summary
+
+This model is a fine-tuned version of [Falconsai/medical_summarization](https://huggingface.co/Falconsai/medical_summarization) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2124
+- Rouge1: 22.5658
+- Rouge2: 14.2244
+- Rougel: 20.2774
+- Rougelsum: 21.7581
+- Gen Len: 19.0
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.3725        | 1.0   | 579  | 1.2124          | 22.5658 | 14.2244 | 20.2774 | 21.7581   | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.2"
+}

runs/Nov25_13-04-45_0aabedf32186/events.out.tfevents.1732540584.0aabedf32186.1006.1

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