End of training

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: summarize_01
+  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. -->
+
+# summarize_01
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9303
+- Rouge1: 0.008
+- Rouge2: 0.0
+- Rougel: 0.0081
+- Rougelsum: 0.0083
+- 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: 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 250  | 0.9455          | 0.0024 | 0.0    | 0.0024 | 0.0024    | 19.0    |
+| 0.994         | 2.0   | 500  | 0.9342          | 0.0093 | 0.0    | 0.0094 | 0.0096    | 19.0    |
+| 0.994         | 3.0   | 750  | 0.9298          | 0.0056 | 0.0    | 0.0056 | 0.0056    | 19.0    |
+| 0.9256        | 4.0   | 1000 | 0.9303          | 0.008  | 0.0    | 0.0081 | 0.0083    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.3"
+}

runs/Jul01_16-10-05_e534c0e03da9/events.out.tfevents.1719850280.e534c0e03da9.755.0

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