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-counterfactual-babylm-only_random_removal-1e-3
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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-counterfactual-babylm-only_random_removal-1e-3
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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: 3.4056
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- Accuracy: 0.4103
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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: 0.001
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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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: 32000
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- num_epochs: 20.0
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- mixed_precision_training: Native AMP
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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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| 3.6071 | 1.0 | 18588 | 3.7805 | 0.3590 |
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| 3.3943 | 2.0 | 37176 | 3.5796 | 0.3806 |
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| 3.2625 | 3.0 | 55764 | 3.4678 | 0.3915 |
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| 3.1838 | 4.0 | 74352 | 3.3962 | 0.3998 |
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| 3.1277 | 5.0 | 92940 | 3.3849 | 0.4017 |
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| 3.0813 | 6.0 | 111528 | 3.3874 | 0.4040 |
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| 3.0519 | 7.0 | 130116 | 3.3394 | 0.4079 |
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| 3.0181 | 8.0 | 148704 | 3.3441 | 0.4085 |
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| 2.9888 | 9.0 | 167292 | 3.3545 | 0.4088 |
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| 2.9602 | 10.0 | 185880 | 3.3501 | 0.4088 |
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| 2.942 | 11.0 | 204468 | 3.3509 | 0.4095 |
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| 2.9174 | 12.0 | 223056 | 3.3709 | 0.4093 |
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| 2.8989 | 13.0 | 241644 | 3.3608 | 0.4107 |
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| 2.8757 | 14.0 | 260232 | 3.3651 | 0.4101 |
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| 2.8506 | 15.0 | 278820 | 3.3638 | 0.4109 |
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| 2.8373 | 16.0 | 297408 | 3.3724 | 0.4107 |
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| 2.8195 | 17.0 | 315996 | 3.3819 | 0.4108 |
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| 2.7983 | 18.0 | 334584 | 3.3819 | 0.4110 |
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| 2.7786 | 19.0 | 353172 | 3.3970 | 0.4103 |
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| 2.7635 | 20.0 | 371760 | 3.4056 | 0.4103 |
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### Framework versions
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- Transformers 4.37.2
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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": "4.37.2"
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}
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model.safetensors
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runs/Feb25_22-30-36_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1708922202.phyl-ling-p01.la.utexas.edu.518872.0
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