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test3333333
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flan-t5-small-en-simplif

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
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Files changed (10) hide show
  1. README.md +71 -0
  2. config.json +62 -0
  3. generation_config.json +6 -0
  4. logs/events.out.tfevents.1699445955.e090e563a847.1059.0 +3 -0
  5. logs/events.out.tfevents.1699447381.e090e563a847.1059.1 +3 -0
  6. model.safetensors +3 -0
  7. special_tokens_map.json +107 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +938 -0
  10. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-small
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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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+ - bleu
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+ model-index:
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+ - name: flan-t5-small-en-simplif
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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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+ # flan-t5-small-en-simplif
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0235
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+ - Rouge1: 37.4235
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+ - Rouge2: 24.6465
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+ - Rougel: 36.9236
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+ - Rougelsum: 36.957
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+ - Gen Len: 18.2196
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+ - Bleu: 6.4559
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+ - Corpus Bleu: 1.7137
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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: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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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 | Bleu | Corpus Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:------:|:-----------:|
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+ | 1.591 | 1.0 | 836 | 1.2587 | 36.3874 | 23.5824 | 35.9132 | 35.9525 | 18.2100 | 5.6488 | 1.6728 |
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+ | 1.2642 | 2.0 | 1672 | 1.1112 | 37.0545 | 24.1896 | 36.5381 | 36.5618 | 18.2148 | 5.7688 | 1.7062 |
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+ | 1.1999 | 3.0 | 2508 | 1.0687 | 37.5054 | 24.8226 | 36.9971 | 37.0054 | 18.2148 | 6.5724 | 1.75 |
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+ | 1.1533 | 4.0 | 3344 | 1.0338 | 37.4018 | 24.6413 | 36.9081 | 36.9161 | 18.2196 | 6.4559 | 1.7049 |
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+ | 1.1067 | 5.0 | 4180 | 1.0235 | 37.4235 | 24.6465 | 36.9236 | 36.957 | 18.2196 | 6.4559 | 1.7137 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "translation_en_to_fr": {
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+ "prefix": "translate English to French: "
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+ "early_stopping": true,
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+ "num_beams": 4,
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+ "transformers_version": "4.35.0",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
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