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santiviquez
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quora-qa-flan-t5-small

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
trl
sft
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
santiviquez commited on
Commit
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Files changed (10) hide show
  1. README.md +64 -0
  2. added_tokens.json +102 -0
  3. config.json +62 -0
  4. generation_config.json +6 -0
  5. model.safetensors +3 -0
  6. runs/Jun12_21-52-49_829a3b631746/events.out.tfevents.1718229170.829a3b631746.3128.1 +3 -0
  7. special_tokens_map.json +125 -0
  8. spiece.model +3 -0
  9. tokenizer_config.json +940 -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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+ model-index:
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+ - name: quora-qa-flan-t5-small
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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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+ # quora-qa-flan-t5-small
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.2365
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+ - Rouge1: 0.0
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+ - Rouge2: 0.0
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+ - Rougel: 0.0
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+ - Rougelsum: 0.0
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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: 0.0003
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+ - train_batch_size: 8
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+ - eval_batch_size: 4
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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: 2
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 10 | 4.4905 | 0.0003 | 0.0 | 0.0003 | 0.0003 |
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+ | No log | 2.0 | 20 | 4.2365 | 0.0 | 0.0 | 0.0 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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