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HybridModelScratch_

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hybrid_fourier_lm
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  1. README.md +71 -0
  2. best_model_streaming/config.json +31 -0
  3. best_model_streaming/model.safetensors +3 -0
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  9. tokenizer.json +0 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: HybridModelScratch_
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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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+ # HybridModelScratch_
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.2920
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+ - Accuracy: 0.2203
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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: 64
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 150
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+ - training_steps: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 32.0977 | 0.1 | 100 | 7.3025 | 0.1141 |
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+ | 26.0238 | 0.2 | 200 | 6.3336 | 0.1618 |
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+ | 24.2338 | 0.3 | 300 | 5.9560 | 0.1830 |
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+ | 23.2729 | 0.4 | 400 | 5.7180 | 0.1967 |
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+ | 22.5651 | 0.5 | 500 | 5.5544 | 0.2059 |
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+ | 22.0473 | 0.6 | 600 | 5.4359 | 0.2119 |
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+ | 21.7227 | 0.7 | 700 | 5.3620 | 0.2162 |
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+ | 21.4768 | 0.8 | 800 | 5.3150 | 0.2189 |
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+ | 21.3548 | 0.9 | 900 | 5.2958 | 0.2200 |
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+ | 21.3675 | 1.0 | 1000 | 5.2920 | 0.2203 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.56.0
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+ - Pytorch 2.8.0+cu129
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+ - Datasets 5.0.0
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+ - Tokenizers 0.22.0
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+ "time_scale": 128.0,
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