Model save
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: models/smolm-mlm/config.json
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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-mlm-bpe-unmask-seed_111
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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-mlm-bpe-unmask-seed_111
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This model is a fine-tuned version of [models/smolm-mlm/config.json](https://huggingface.co/models/smolm-mlm/config.json) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6880
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- Accuracy: 0.4522
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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: 0.0005
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- train_batch_size: 64
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- eval_batch_size: 512
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- seed: 111
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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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| 3.5129 | 1.0 | 11938 | 3.4627 | 0.3523 |
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| 3.319 | 2.0 | 23876 | 3.3322 | 0.3641 |
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| 3.1577 | 3.0 | 35814 | 3.1841 | 0.3810 |
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| 3.0357 | 4.0 | 47752 | 3.0588 | 0.3982 |
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| 2.9606 | 5.0 | 59690 | 2.9535 | 0.4109 |
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| 2.87 | 6.0 | 71628 | 2.8745 | 0.4221 |
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| 2.7817 | 7.0 | 83566 | 2.8351 | 0.4284 |
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| 2.7388 | 8.0 | 95504 | 2.7536 | 0.4417 |
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| 2.6618 | 9.0 | 107442 | 2.7308 | 0.4424 |
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| 2.6258 | 10.0 | 119380 | 2.6880 | 0.4522 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 34142453
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version https://git-lfs.github.com/spec/v1
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size 34142453
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