Model save
Browse files- README.md +79 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
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-measure_nps_as_singular-seed_211-1e-4
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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-measure_nps_as_singular-seed_211-1e-4
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4453
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- Accuracy: 0.4059
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 211
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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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| 4.0492 | 1.0 | 18601 | 4.2903 | 0.3076 |
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| 3.5701 | 2.0 | 37202 | 3.7600 | 0.3619 |
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| 3.3901 | 3.0 | 55803 | 3.5643 | 0.3811 |
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| 3.2877 | 4.0 | 74404 | 3.4952 | 0.3893 |
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| 3.2176 | 5.0 | 93005 | 3.4699 | 0.3940 |
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| 3.1687 | 6.0 | 111606 | 3.4478 | 0.3967 |
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| 3.1232 | 7.0 | 130207 | 3.4306 | 0.3992 |
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| 3.0903 | 8.0 | 148808 | 3.4360 | 0.4007 |
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| 3.0619 | 9.0 | 167409 | 3.4178 | 0.4020 |
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| 3.0326 | 10.0 | 186010 | 3.4113 | 0.4025 |
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| 3.0057 | 11.0 | 204611 | 3.4085 | 0.4036 |
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| 2.9825 | 12.0 | 223212 | 3.4075 | 0.4043 |
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| 2.9605 | 13.0 | 241813 | 3.4155 | 0.4047 |
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| 2.9399 | 14.0 | 260414 | 3.4355 | 0.4047 |
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| 2.9261 | 15.0 | 279015 | 3.4277 | 0.4055 |
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| 2.9036 | 16.0 | 297616 | 3.4246 | 0.4057 |
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| 2.8909 | 17.0 | 316217 | 3.4307 | 0.4058 |
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| 2.8715 | 18.0 | 334818 | 3.4373 | 0.4058 |
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| 2.8532 | 19.0 | 353419 | 3.4386 | 0.4062 |
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| 2.8408 | 20.0 | 372020 | 3.4453 | 0.4059 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.12.0
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- Tokenizers 0.14.1
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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": "4.35.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 391376736
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version https://git-lfs.github.com/spec/v1
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oid sha256:27ce9d21550371ce36ec96926be8c34b65456cde468204a6374e90a98214fc05
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size 391376736
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