Model save

README.md

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+---
+license: apache-2.0
+base_model: google/long-t5-tglobal-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: long-t5-tglobal-base-synthsumm-16384-v2
+  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. -->
+
+# long-t5-tglobal-base-synthsumm-16384-v2
+
+This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4378
+- Rouge1: 48.0918
+- Rouge2: 21.2531
+- Rougel: 34.4307
+- Rougelsum: 43.0271
+- Gen Len: 84.5231
+
+## 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: 26605
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| 1.9183        | 0.38  | 125  | 1.5762          | 38.7221 | 15.0873 | 28.3123 | 34.9655   | 129.2154 |
+| 1.8815        | 0.77  | 250  | 1.5230          | 44.3531 | 17.9384 | 31.7417 | 39.5563   | 87.3538  |
+| 1.7264        | 1.15  | 375  | 1.4735          | 45.7781 | 20.102  | 33.329  | 41.4737   | 101.9231 |
+| 1.8545        | 1.54  | 500  | 1.4505          | 47.0134 | 20.6159 | 33.6118 | 41.6579   | 88.2308  |
+| 1.7444        | 1.92  | 625  | 1.4378          | 48.0918 | 21.2531 | 34.4307 | 43.0271   | 84.5231  |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0
+- Datasets 2.15.0
+- 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": "4.36.0.dev0"
+}