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fpadovani
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age_random

Text Generation
Transformers
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
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  1. README.md +111 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: gpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: age_random
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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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+ # age_random
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.4612
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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: 0.0001
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: reduce_lr_on_plateau
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 1
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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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+ | 4.8574 | 0.0106 | 2000 | 4.1984 |
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+ | 4.145 | 0.0212 | 4000 | 3.9833 |
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+ | 3.9948 | 0.0317 | 6000 | 3.8724 |
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+ | 3.9047 | 0.0423 | 8000 | 3.8042 |
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+ | 3.8428 | 0.0529 | 10000 | 3.7519 |
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+ | 3.7955 | 0.0635 | 12000 | 3.7141 |
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+ | 3.7557 | 0.0741 | 14000 | 3.6856 |
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+ | 3.725 | 0.0847 | 16000 | 3.6586 |
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+ | 3.6947 | 0.0952 | 18000 | 3.6385 |
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+ | 3.6726 | 0.1058 | 20000 | 3.6223 |
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+ | 3.6556 | 0.1164 | 22000 | 3.6024 |
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+ | 3.6309 | 0.1270 | 24000 | 3.5923 |
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+ | 3.619 | 0.1376 | 26000 | 3.5809 |
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+ | 3.6045 | 0.1482 | 28000 | 3.5688 |
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+ | 3.5854 | 0.1587 | 30000 | 3.5668 |
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+ | 3.5793 | 0.1693 | 32000 | 3.5575 |
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+ | 3.5685 | 0.1799 | 34000 | 3.5453 |
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+ | 3.556 | 0.1905 | 36000 | 3.5405 |
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+ | 3.5475 | 0.2011 | 38000 | 3.5332 |
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+ | 3.5358 | 0.2117 | 40000 | 3.5293 |
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+ | 3.5305 | 0.2222 | 42000 | 3.5237 |
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+ | 3.5257 | 0.2328 | 44000 | 3.5184 |
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+ | 3.5122 | 0.2434 | 46000 | 3.5163 |
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+ | 3.5099 | 0.2540 | 48000 | 3.5092 |
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+ | 3.503 | 0.2646 | 50000 | 3.5097 |
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+ | 3.494 | 0.2752 | 52000 | 3.5058 |
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+ | 3.4923 | 0.2857 | 54000 | 3.5029 |
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+ | 3.4839 | 0.2963 | 56000 | 3.4993 |
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+ | 3.4794 | 0.3069 | 58000 | 3.4979 |
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+ | 3.4784 | 0.3175 | 60000 | 3.4935 |
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+ | 3.4688 | 0.3281 | 62000 | 3.4919 |
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+ | 3.4672 | 0.3387 | 64000 | 3.4888 |
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+ | 3.4651 | 0.3492 | 66000 | 3.4864 |
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+ | 3.454 | 0.3598 | 68000 | 3.4848 |
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+ | 3.4579 | 0.3704 | 70000 | 3.4826 |
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+ | 3.4525 | 0.3810 | 72000 | 3.4789 |
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+ | 3.4448 | 0.3916 | 74000 | 3.4794 |
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+ | 3.4483 | 0.4022 | 76000 | 3.4779 |
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+ | 3.4422 | 0.4127 | 78000 | 3.4766 |
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+ | 3.4365 | 0.4233 | 80000 | 3.4745 |
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+ | 3.4383 | 0.4339 | 82000 | 3.4725 |
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+ | 3.4311 | 0.4445 | 84000 | 3.4713 |
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+ | 3.4304 | 0.4551 | 86000 | 3.4709 |
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+ | 3.4293 | 0.4657 | 88000 | 3.4679 |
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+ | 3.4218 | 0.4762 | 90000 | 3.4673 |
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+ | 3.4226 | 0.4868 | 92000 | 3.4682 |
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+ | 3.4231 | 0.4974 | 94000 | 3.4639 |
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+ | 3.4182 | 0.5080 | 96000 | 3.4659 |
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+ | 3.4165 | 0.5186 | 98000 | 3.4674 |
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+ | 3.4137 | 0.5292 | 100000 | 3.4611 |
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+ | 3.4101 | 0.5397 | 102000 | 3.4653 |
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+ | 3.4136 | 0.5503 | 104000 | 3.4648 |
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+ | 3.4059 | 0.5609 | 106000 | 3.4612 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.4.1
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 5,
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+ "eos_token_id": 4,
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+ "transformers_version": "4.45.2"
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+ }
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