End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/long-t5-tglobal-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: my_awesome_dailymail_long_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. -->
+
+# my_awesome_dailymail_long_model
+
+This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6759
+- Rouge1: 0.2345
+- Rouge2: 0.0986
+- Rougel: 0.1918
+- Rougelsum: 0.1921
+- Gen Len: 18.999
+
+## 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: 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.5452        | 0.5   | 500  | 1.7971          | 0.227  | 0.0911 | 0.1815 | 0.1815    | 18.9695 |
+| 2.2571        | 1.0   | 1000 | 1.7336          | 0.2315 | 0.0941 | 0.1865 | 0.1865    | 18.995  |
+| 2.1671        | 1.5   | 1500 | 1.7149          | 0.2322 | 0.0958 | 0.1885 | 0.1887    | 18.995  |
+| 2.1123        | 2.0   | 2000 | 1.6973          | 0.2343 | 0.0967 | 0.1903 | 0.1904    | 18.999  |
+| 2.0778        | 2.5   | 2500 | 1.6900          | 0.2349 | 0.0974 | 0.1913 | 0.1914    | 18.999  |
+| 2.0609        | 3.0   | 3000 | 1.6833          | 0.2342 | 0.098  | 0.1914 | 0.1916    | 18.999  |
+| 2.0466        | 3.5   | 3500 | 1.6780          | 0.2344 | 0.0983 | 0.1918 | 0.192     | 18.999  |
+| 2.0454        | 4.0   | 4000 | 1.6759          | 0.2345 | 0.0986 | 0.1918 | 0.1921    | 18.999  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 3.0.0
+- 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": "4.44.2"
+}