Model save

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-v1_1-large-gramatika161k-b16-5000
+  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. -->
+
+# t5-v1_1-large-gramatika161k-b16-5000
+
+This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1174
+- Rouge1: 48.5144
+- Rouge2: 40.6865
+- Rougel: 48.3881
+- Rougelsum: 48.3856
+- Gen Len: 18.8717
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adafactor
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.6024        | 0.63  | 5000  | 0.2087          | 45.4271 | 35.6446 | 45.1917 | 45.1772   | 18.8785 |
+| 0.2262        | 1.27  | 10000 | 0.1614          | 46.8959 | 38.0793 | 46.7167 | 46.7103   | 18.8760 |
+| 0.1842        | 1.9   | 15000 | 0.1436          | 47.6488 | 39.2469 | 47.4856 | 47.4753   | 18.8751 |
+| 0.1588        | 2.54  | 20000 | 0.1311          | 48.0239 | 39.8829 | 47.8755 | 47.8715   | 18.8738 |
+| 0.1461        | 3.17  | 25000 | 0.1247          | 48.2413 | 40.249  | 48.104  | 48.0976   | 18.8741 |
+| 0.1342        | 3.81  | 30000 | 0.1195          | 48.4295 | 40.5473 | 48.2997 | 48.2965   | 18.8721 |
+| 0.1279        | 4.44  | 35000 | 0.1174          | 48.5144 | 40.6865 | 48.3881 | 48.3856   | 18.8717 |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 1.11.0a0+b6df043
+- Datasets 2.12.0
+- Tokenizers 0.13.3

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