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: test-dialogue-summarization
+  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. -->
+
+# test-dialogue-summarization
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3848
+- Rouge: {'rouge1': 45.6704, 'rouge2': 21.245, 'rougeL': 20.2411, 'rougeLsum': 20.2411}
+- Bert Score: 0.8718
+- Bleurt 20: -0.8946
+- Gen Len: 14.99
+
+## 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: 7
+- eval_batch_size: 7
+- 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 | Rouge                                                                           | Bert Score | Bleurt 20 | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------:|:----------:|:---------:|:-------:|
+| 2.2971        | 1.0   | 186  | 2.4618          | {'rouge1': 46.8614, 'rouge2': 21.2026, 'rougeL': 20.3766, 'rougeLsum': 20.3766} | 0.8719     | -0.8804   | 15.38   |
+| 2.5384        | 2.0   | 372  | 2.4062          | {'rouge1': 46.4924, 'rouge2': 21.6223, 'rougeL': 20.304, 'rougeLsum': 20.304}   | 0.8724     | -0.8819   | 15.145  |
+| 2.5224        | 3.0   | 558  | 2.3936          | {'rouge1': 46.0775, 'rouge2': 21.2642, 'rougeL': 20.3148, 'rougeLsum': 20.3148} | 0.871      | -0.8905   | 15.345  |
+| 2.4661        | 4.0   | 744  | 2.3867          | {'rouge1': 45.6718, 'rouge2': 21.122, 'rougeL': 20.2877, 'rougeLsum': 20.2877}  | 0.8719     | -0.8887   | 14.975  |
+| 2.4426        | 5.0   | 930  | 2.3848          | {'rouge1': 45.6704, 'rouge2': 21.245, 'rougeL': 20.2411, 'rougeLsum': 20.2411}  | 0.8718     | -0.8946   | 14.99   |
+
+
+### 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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