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jeremyvictor
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t5-v1_1-large-gramatika1500k

Text2Text Generation
Transformers
PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
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Files changed (9) hide show
  1. README.md +70 -0
  2. generation_config.json +6 -0
  3. logs/events.out.tfevents.1691730785.jeremyvictor-pod.3854319.0 +2 -2
  4. logs/events.out.tfevents.1692082494.jeremyvictor-pod.3854319.1 +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/t5-v1_1-large
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: t5-v1_1-large-gramatika1500k
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # t5-v1_1-large-gramatika1500k
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0386
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+ - Rouge1: 52.2432
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+ - Rouge2: 46.3929
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+ - Rougel: 52.1914
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+ - Rougelsum: 52.1955
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+ - Gen Len: 18.9096
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adafactor
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.1341 | 1.33 | 100000 | 0.0603 | 51.1478 | 44.5632 | 51.0653 | 51.0706 | 18.9107 |
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+ | 0.0608 | 2.67 | 200000 | 0.0469 | 51.7198 | 45.5159 | 51.6566 | 51.6625 | 18.9102 |
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+ | 0.0465 | 4.0 | 300000 | 0.0417 | 51.97 | 45.93 | 51.9094 | 51.9137 | 18.9101 |
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+ | 0.0375 | 5.33 | 400000 | 0.0402 | 52.1056 | 46.1587 | 52.0509 | 52.0577 | 18.9095 |
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+ | 0.0322 | 6.67 | 500000 | 0.0388 | 52.1861 | 46.2939 | 52.1316 | 52.1371 | 18.9095 |
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+ | 0.0285 | 8.0 | 600000 | 0.0386 | 52.2432 | 46.3929 | 52.1914 | 52.1955 | 18.9096 |
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+ | 0.0253 | 9.34 | 700000 | 0.0390 | 52.2683 | 46.4315 | 52.2181 | 52.224 | 18.9094 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 1.11.0a0+b6df043
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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