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---
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-v1_1-large-gramatika1500k
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-gramatika1500k
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: 0.0386
- Rouge1: 52.2432
- Rouge2: 46.3929
- Rougel: 52.1914
- Rougelsum: 52.1955
- Gen Len: 18.9096
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.1341 | 1.33 | 100000 | 0.0603 | 51.1478 | 44.5632 | 51.0653 | 51.0706 | 18.9107 |
| 0.0608 | 2.67 | 200000 | 0.0469 | 51.7198 | 45.5159 | 51.6566 | 51.6625 | 18.9102 |
| 0.0465 | 4.0 | 300000 | 0.0417 | 51.97 | 45.93 | 51.9094 | 51.9137 | 18.9101 |
| 0.0375 | 5.33 | 400000 | 0.0402 | 52.1056 | 46.1587 | 52.0509 | 52.0577 | 18.9095 |
| 0.0322 | 6.67 | 500000 | 0.0388 | 52.1861 | 46.2939 | 52.1316 | 52.1371 | 18.9095 |
| 0.0285 | 8.0 | 600000 | 0.0386 | 52.2432 | 46.3929 | 52.1914 | 52.1955 | 18.9096 |
| 0.0253 | 9.34 | 700000 | 0.0390 | 52.2683 | 46.4315 | 52.2181 | 52.224 | 18.9094 |
### Framework versions
- Transformers 4.31.0
- Pytorch 1.11.0a0+b6df043
- Datasets 2.12.0
- Tokenizers 0.13.3
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