End of training

README.md

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+---
+license: apache-2.0
+base_model: google/long-t5-tglobal-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: LongT5-Large-NSPCC
+  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. -->
+
+# LongT5-Large-NSPCC
+
+This model is a fine-tuned version of [google/long-t5-tglobal-large](https://huggingface.co/google/long-t5-tglobal-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3710
+- Rouge1: 0.4978
+- Rouge2: 0.2091
+- Rougel: 0.2874
+- Rougelsum: 0.2871
+- Gen Len: 251.3511
+
+## 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: 0.0003
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
+| 6.0401        | 0.9960 | 188  | 2.7089          | 0.2766 | 0.0617 | 0.1655 | 0.1657    | 151.7021 |
+| 2.4805        | 1.9974 | 377  | 1.8809          | 0.382  | 0.1178 | 0.2092 | 0.2092    | 211.1809 |
+| 1.8093        | 2.9987 | 566  | 1.5769          | 0.4356 | 0.1527 | 0.2409 | 0.2409    | 246.1277 |
+| 1.4653        | 4.0    | 755  | 1.4359          | 0.4661 | 0.1722 | 0.26   | 0.2603    | 245.0851 |
+| 1.2626        | 4.9960 | 943  | 1.3908          | 0.4829 | 0.1931 | 0.2717 | 0.2717    | 239.8617 |
+| 1.117         | 5.9974 | 1132 | 1.3724          | 0.4864 | 0.1988 | 0.2804 | 0.2804    | 244.4255 |
+| 1.0404        | 6.9987 | 1321 | 1.3714          | 0.4914 | 0.2007 | 0.2826 | 0.2821    | 248.6915 |
+| 1.0065        | 7.9682 | 1504 | 1.3710          | 0.4978 | 0.2091 | 0.2874 | 0.2871    | 251.3511 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_new_tokens": 400,
+  "no_repeat_ngram_size": 5,
+  "num_beams": 3,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.2"
+}