Model save
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README.md
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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_28
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results: []
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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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# smolm-autoreg-bpe-seed_28
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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: 2.4754
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- Accuracy: 0.4991
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 28
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 3.0383 | 1.0 | 2928 | 3.0183 | 0.4371 |
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| 2.7202 | 2.0 | 5856 | 2.7841 | 0.4601 |
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| 2.5954 | 3.0 | 8784 | 2.7013 | 0.4689 |
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| 2.5123 | 4.0 | 11712 | 2.6403 | 0.4755 |
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| 2.4613 | 5.0 | 14640 | 2.6047 | 0.4802 |
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| 2.4261 | 6.0 | 17568 | 2.5919 | 0.4824 |
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| 2.3906 | 7.0 | 20496 | 2.5666 | 0.4850 |
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| 2.3601 | 8.0 | 23424 | 2.5550 | 0.4861 |
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| 2.2843 | 9.0 | 26352 | 2.5031 | 0.4940 |
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| 2.1392 | 10.0 | 29280 | 2.4754 | 0.4991 |
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### Framework versions
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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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generation_config.json
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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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model.safetensors
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size 33810896
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runs/Mar13_12-47-28_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1710352051.phyl-ling-p01.la.utexas.edu.52486.0
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version https://git-lfs.github.com/spec/v1
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size
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size 20727
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