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learn3r
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longt5_xl_sfd_20

Text2Text Generation
Transformers
Safetensors
longt5
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. README.md +80 -0
  2. generation_config.json +7 -0
  3. model-00001-of-00003.safetensors +3 -0
  4. model-00002-of-00003.safetensors +3 -0
  5. model-00003-of-00003.safetensors +3 -0
  6. model.safetensors.index.json +590 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/long-t5-tglobal-xl
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - scrolls
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+ model-index:
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+ - name: longt5_xl_sfd_20
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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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+ # longt5_xl_sfd_20
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+
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+ This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the scrolls dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.8167
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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: 0.001
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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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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 256
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - num_epochs: 20.0
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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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+ | 2.9377 | 0.97 | 14 | 2.7965 |
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+ | 2.3247 | 1.95 | 28 | 2.2995 |
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+ | 1.9943 | 2.99 | 43 | 2.3308 |
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+ | 1.7056 | 3.97 | 57 | 2.3369 |
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+ | 1.4471 | 4.94 | 71 | 2.5532 |
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+ | 1.1932 | 5.98 | 86 | 2.6961 |
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+ | 0.9199 | 6.96 | 100 | 2.6453 |
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+ | 0.7571 | 8.0 | 115 | 3.0978 |
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+ | 0.6287 | 8.97 | 129 | 3.1458 |
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+ | 0.4939 | 9.95 | 143 | 3.5686 |
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+ | 0.376 | 10.99 | 158 | 3.4260 |
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+ | 0.313 | 11.97 | 172 | 3.9302 |
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+ | 0.2562 | 12.94 | 186 | 3.7433 |
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+ | 0.2051 | 13.98 | 201 | 3.9113 |
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+ | 0.1802 | 14.96 | 215 | 4.0450 |
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+ | 0.1378 | 16.0 | 230 | 3.9397 |
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+ | 0.1546 | 16.97 | 244 | 4.3079 |
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+ | 0.1375 | 17.95 | 258 | 4.5525 |
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+ | 0.1005 | 18.99 | 273 | 4.9005 |
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+ | 0.0808 | 19.48 | 280 | 4.8167 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "transformers_version": "4.39.3"
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