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piazzola
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test2

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
piazzola commited on
Commit
2163981
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Browse files
Files changed (10) hide show
  1. README.md +66 -0
  2. added_tokens.json +26 -0
  3. config.json +31 -0
  4. generation_config.json +7 -0
  5. model.safetensors +3 -0
  6. special_tokens_map.json +125 -0
  7. spiece.model +3 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +1186 -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/t5-efficient-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: checkpoint
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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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+ # checkpoint
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+
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+ This model is a fine-tuned version of [google/t5-efficient-base](https://huggingface.co/google/t5-efficient-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3070
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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: 8
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+ - eval_batch_size: 8
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.3 | 240 | 1.4901 |
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+ | No log | 0.6 | 480 | 0.7750 |
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+ | 3.5263 | 0.9 | 720 | 0.5219 |
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+ | 3.5263 | 1.2 | 960 | 0.3782 |
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+ | 0.607 | 1.5 | 1200 | 0.3521 |
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+ | 0.607 | 1.8 | 1440 | 0.3356 |
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+ | 0.4173 | 2.1 | 1680 | 0.3255 |
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+ | 0.4173 | 2.4 | 1920 | 0.3151 |
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+ | 0.368 | 2.7 | 2160 | 0.3093 |
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+ | 0.368 | 3.0 | 2400 | 0.3070 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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