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pythia_14m_sft

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Initial model upload

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  1. README.md +90 -0
  2. config.json +32 -0
  3. generation_config.json +6 -0
  4. logs/events.out.tfevents.1731919122.3e909969168f.182.0 +3 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: EleutherAI/pythia-14m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: pythia_14m_sft
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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_14m_sft
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0709
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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: 2e-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: Use 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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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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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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+ | 3.5962 | 0.0889 | 100 | 3.4716 |
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+ | 3.4759 | 0.1778 | 200 | 3.4017 |
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+ | 3.4434 | 0.2667 | 300 | 3.3713 |
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+ | 3.3847 | 0.3556 | 400 | 3.3427 |
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+ | 3.359 | 0.4444 | 500 | 3.3186 |
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+ | 3.3447 | 0.5333 | 600 | 3.2899 |
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+ | 3.3099 | 0.6222 | 700 | 3.2654 |
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+ | 3.2775 | 0.7111 | 800 | 3.2482 |
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+ | 3.2512 | 0.8 | 900 | 3.2254 |
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+ | 3.2302 | 0.8889 | 1000 | 3.2151 |
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+ | 3.1752 | 0.9778 | 1100 | 3.1929 |
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+ | 3.1005 | 1.0667 | 1200 | 3.1916 |
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+ | 3.0798 | 1.1556 | 1300 | 3.1778 |
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+ | 3.073 | 1.2444 | 1400 | 3.1688 |
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+ | 3.1032 | 1.3333 | 1500 | 3.1707 |
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+ | 3.0417 | 1.4222 | 1600 | 3.1607 |
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+ | 3.075 | 1.5111 | 1700 | 3.1573 |
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+ | 3.0675 | 1.6 | 1800 | 3.1476 |
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+ | 3.0719 | 1.6889 | 1900 | 3.1424 |
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+ | 3.0469 | 1.7778 | 2000 | 3.1344 |
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+ | 3.0643 | 1.8667 | 2100 | 3.1257 |
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+ | 3.0375 | 1.9556 | 2200 | 3.1195 |
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+ | 2.9736 | 2.0444 | 2300 | 3.1130 |
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+ | 2.9915 | 2.1333 | 2400 | 3.1146 |
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+ | 2.9285 | 2.2222 | 2500 | 3.1061 |
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+ | 2.9535 | 2.3111 | 2600 | 3.0981 |
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+ | 2.9691 | 2.4 | 2700 | 3.0966 |
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+ | 2.9079 | 2.4889 | 2800 | 3.0889 |
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+ | 2.9216 | 2.5778 | 2900 | 3.0847 |
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+ | 2.924 | 2.6667 | 3000 | 3.0795 |
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+ | 2.9529 | 2.7556 | 3100 | 3.0775 |
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+ | 2.9375 | 2.8444 | 3200 | 3.0732 |
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+ | 2.8904 | 2.9333 | 3300 | 3.0709 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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