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yurakuratov
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pythia-160m-shuffled-pg19

Text Generation
Transformers
TensorBoard
Safetensors
gpt_neox
Generated from Trainer
text-generation-inference
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  1. README.md +101 -0
  2. generation_config.json +6 -0
  3. logs/events.out.tfevents.1743512505.lm-mpi-job-51c3f996-baf8-458f-a5a9-56af7491a586-mpimaster-0.126.0 +2 -2
  4. special_tokens_map.json +24 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +215 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: yurakuratov/pythia-160m-rnd
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: pythia-160m-shuffled-pg19
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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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+ # pythia-160m-shuffled-pg19
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+
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+ This model is a fine-tuned version of [yurakuratov/pythia-160m-rnd](https://huggingface.co/yurakuratov/pythia-160m-rnd) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.9773
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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: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 25
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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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+ | 6.9501 | 0.5593 | 250 | 6.8935 |
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+ | 6.5228 | 1.1186 | 500 | 6.5062 |
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+ | 6.3755 | 1.6779 | 750 | 6.3901 |
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+ | 6.2914 | 2.2371 | 1000 | 6.3212 |
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+ | 6.2433 | 2.7964 | 1250 | 6.2800 |
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+ | 6.1989 | 3.3557 | 1500 | 6.2246 |
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+ | 6.1642 | 3.9150 | 1750 | 6.1784 |
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+ | 6.1303 | 4.4743 | 2000 | 6.1952 |
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+ | 6.1105 | 5.0336 | 2250 | 6.1830 |
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+ | 6.1022 | 5.5928 | 2500 | 6.1601 |
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+ | 6.0819 | 6.1521 | 2750 | 6.1461 |
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+ | 6.0729 | 6.7114 | 3000 | 6.1581 |
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+ | 6.0704 | 7.2707 | 3250 | 6.1284 |
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+ | 6.0564 | 7.8300 | 3500 | 6.1152 |
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+ | 6.0422 | 8.3893 | 3750 | 6.1052 |
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+ | 6.0272 | 8.9485 | 4000 | 6.1243 |
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+ | 6.025 | 9.5078 | 4250 | 6.1150 |
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+ | 6.0096 | 10.0671 | 4500 | 6.0761 |
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+ | 6.0014 | 10.6264 | 4750 | 6.0883 |
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+ | 6.001 | 11.1857 | 5000 | 6.0950 |
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+ | 5.9984 | 11.7450 | 5250 | 6.0633 |
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+ | 5.9943 | 12.3043 | 5500 | 6.0714 |
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+ | 5.9836 | 12.8635 | 5750 | 6.0981 |
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+ | 5.9819 | 13.4228 | 6000 | 6.0536 |
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+ | 5.9825 | 13.9821 | 6250 | 6.0519 |
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+ | 5.9677 | 14.5414 | 6500 | 6.0923 |
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+ | 5.9645 | 15.1007 | 6750 | 6.0295 |
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+ | 5.9689 | 15.6600 | 7000 | 6.0396 |
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+ | 5.9667 | 16.2192 | 7250 | 6.0684 |
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+ | 5.9598 | 16.7785 | 7500 | 6.0128 |
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+ | 5.9414 | 17.3378 | 7750 | 6.0212 |
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+ | 5.9427 | 17.8971 | 8000 | 6.0452 |
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+ | 5.9403 | 18.4564 | 8250 | 6.0217 |
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+ | 5.9439 | 19.0157 | 8500 | 6.0177 |
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+ | 5.9404 | 19.5749 | 8750 | 6.0494 |
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+ | 5.9328 | 20.1342 | 9000 | 5.9959 |
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+ | 5.9344 | 20.6935 | 9250 | 6.0190 |
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+ | 5.9323 | 21.2528 | 9500 | 5.9959 |
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+ | 5.9273 | 21.8121 | 9750 | 6.0320 |
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+ | 5.9164 | 22.3714 | 10000 | 6.0198 |
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+ | 5.9237 | 22.9306 | 10250 | 5.9934 |
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+ | 5.921 | 23.4899 | 10500 | 6.0037 |
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+ | 5.9169 | 24.0492 | 10750 | 6.0041 |
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+ | 5.9089 | 24.6085 | 11000 | 5.9773 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.50.0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.4.1
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+ - Tokenizers 0.21.1
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