End of training

README.md

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+---
+license: apache-2.0
+base_model: google-t5/t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: multinews_model
+  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. -->
+
+# multinews_model
+
+This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2447
+- Rouge1: 0.1541
+- Rouge2: 0.0514
+- Rougel: 0.1178
+- Rougelsum: 0.1178
+- Gen Len: 18.9996
+
+## 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.508         | 1.0   | 1406 | 2.2746          | 0.1525 | 0.0501 | 0.1164 | 0.1164    | 18.9972 |
+| 2.4136        | 2.0   | 2812 | 2.2489          | 0.1535 | 0.0512 | 0.1173 | 0.1173    | 18.9996 |
+| 2.3479        | 3.0   | 4218 | 2.2447          | 0.1541 | 0.0514 | 0.1178 | 0.1178    | 18.9996 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

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