End of training

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: my-custom-repo2
+  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. -->
+
+# my-custom-repo2
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7633
+- Rouge1: 7.5698
+- Rouge2: 7.2187
+- Rougel: 7.5696
+- Rougelsum: 7.5699
+- Gen Len: 0.0
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 48   | 7.0588          | 6.3855 | 5.6369 | 6.0034 | 6.001     | 4.2708  |
+| No log        | 2.0   | 96   | 4.2872          | 6.2467 | 5.4606 | 5.8714 | 5.8778    | 4.6979  |
+| No log        | 3.0   | 144  | 3.5187          | 6.3718 | 5.6928 | 6.0686 | 6.0805    | 4.0104  |
+| No log        | 4.0   | 192  | 2.9485          | 7.5698 | 7.2187 | 7.5696 | 7.5699    | 0.0     |
+| No log        | 5.0   | 240  | 2.7633          | 7.5698 | 7.2187 | 7.5696 | 7.5699    | 0.0     |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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