End of training

README.md

@@ -1,3 +1,65 @@
 ---
 license: apache-2.0
+base_model: google/flan-t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-fine-tune-generate-email
+  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. -->
+
+# t5-fine-tune-generate-email
+
+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: 2.4153
+- Rouge1: 0.0143
+- Rouge2: 0.0060
+- Rougel: 0.0137
+- Rougelsum: 0.0142
+
+## 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: 0.0003
+- train_batch_size: 6
+- eval_batch_size: 6
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.864         | 1.0   | 2487 | 2.5669          | 0.0151 | 0.0060 | 0.0145 | 0.0150    |
+| 2.6463        | 2.0   | 4974 | 2.4533          | 0.0143 | 0.0060 | 0.0137 | 0.0142    |
+| 2.5031        | 3.0   | 7461 | 2.4153          | 0.0143 | 0.0060 | 0.0137 | 0.0142    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- 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"
+}

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