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Model save

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README.md ADDED
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+ ---
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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: smolm-autoreg-bpe-seed_394
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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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+ # smolm-autoreg-bpe-seed_394
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4779
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+ - Accuracy: 0.5000
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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: 0.003
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+ - train_batch_size: 16
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+ - eval_batch_size: 128
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+ - seed: 394
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 24000
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+ - num_epochs: 10.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 3.0436 | 1.0 | 2928 | 3.0123 | 0.4386 |
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+ | 2.7076 | 2.0 | 5856 | 2.7809 | 0.4602 |
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+ | 2.5717 | 3.0 | 8784 | 2.6882 | 0.4706 |
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+ | 2.5132 | 4.0 | 11712 | 2.6348 | 0.4770 |
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+ | 2.4683 | 5.0 | 14640 | 2.6046 | 0.4811 |
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+ | 2.4265 | 6.0 | 17568 | 2.5843 | 0.4832 |
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+ | 2.3937 | 7.0 | 20496 | 2.5710 | 0.4853 |
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+ | 2.3639 | 8.0 | 23424 | 2.5552 | 0.4874 |
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+ | 2.2858 | 9.0 | 26352 | 2.5045 | 0.4944 |
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+ | 2.1423 | 10.0 | 29280 | 2.4779 | 0.5000 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.38.2"
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+ }
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