End of training

README.md

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+---
+base_model: luqh/ClinicalT5-base
+tags:
+- generated_from_trainer
+model-index:
+- name: medical_jargons_simplifier
+  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_jargons_simplifier
+
+This model is a fine-tuned version of [luqh/ClinicalT5-base](https://huggingface.co/luqh/ClinicalT5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4405
+
+## 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
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.2542        | 0.2017 | 500  | 0.5136          |
+| 0.5482        | 0.4034 | 1000 | 0.4729          |
+| 0.5112        | 0.6051 | 1500 | 0.4599          |
+| 0.5042        | 0.8068 | 2000 | 0.4532          |
+| 0.5043        | 1.0085 | 2500 | 0.4488          |
+| 0.5085        | 1.2102 | 3000 | 0.4448          |
+| 0.4692        | 1.4119 | 3500 | 0.4432          |
+| 0.495         | 1.6136 | 4000 | 0.4416          |
+| 0.4798        | 1.8152 | 4500 | 0.4405          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}