End of training

README.md

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+---
+base_model: luqh/ClinicalT5-base
+tags:
+- generated_from_trainer
+datasets:
+- sem_eval_2024_task_2
+metrics:
+- rouge
+model-index:
+- name: ClinicalT5-base-finetuned-biomedical
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: sem_eval_2024_task_2
+      type: sem_eval_2024_task_2
+      config: sem_eval_2024_task_2_source
+      split: validation
+      args: sem_eval_2024_task_2_source
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 51.0
+---
+
+<!-- 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. -->
+
+# ClinicalT5-base-finetuned-biomedical
+
+This model is a fine-tuned version of [luqh/ClinicalT5-base](https://huggingface.co/luqh/ClinicalT5-base) on the sem_eval_2024_task_2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2017
+- Rouge1: 51.0
+- Rouge2: 0.0
+- Rougel: 51.0
+- Rougelsum: 51.0
+- Gen Len: 3.71
+
+## 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: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 425  | 0.2227          | 49.5   | 0.0    | 49.5   | 49.5      | 3.015   |
+| 1.7568        | 2.0   | 850  | 0.2053          | 49.0   | 0.0    | 49.0   | 49.0      | 3.09    |
+| 0.227         | 3.0   | 1275 | 0.2012          | 51.0   | 0.0    | 51.0   | 51.0      | 3.24    |
+| 0.2186        | 4.0   | 1700 | 0.2011          | 52.0   | 0.0    | 52.0   | 52.0      | 3.29    |
+| 0.2173        | 5.0   | 2125 | 0.2017          | 51.0   | 0.0    | 51.0   | 51.0      | 3.71    |
+
+
+### 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"
+}

model.safetensors

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 size 891644712