Model save

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-finetuned-python_qa_v2
+  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. -->
+
+# flan-t5-base-finetuned-python_qa_v2
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9023
+- Rouge1: 0.1919
+- Rouge2: 0.0535
+- Rougel: 0.1492
+- Rougelsum: 0.1655
+
+## 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: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.0314        | 1.0   | 2000 | 1.9083          | 0.1876 | 0.0546 | 0.1485 | 0.1640    |
+| 1.9586        | 2.0   | 4000 | 1.9031          | 0.1896 | 0.0531 | 0.1485 | 0.1643    |
+| 1.923         | 3.0   | 6000 | 1.9023          | 0.1919 | 0.0535 | 0.1492 | 0.1655    |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_new_tokens": 30,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.1"
+}