80 lines
2.8 KiB
Markdown
80 lines
2.8 KiB
Markdown
---
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library_name: transformers
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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: babylm-base5M-gpt2
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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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# babylm-base5M-gpt2 (Fork with chck_100M Checkpoint)
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This repository is a fork of [alexandertam/babylm-base5m-gpt2](https://huggingface.co/alexandertam/babylm-base5m-gpt2), created for the [BabyLM Challenge 2025](https://babylm.github.io/) submission.
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It extends the original model by including an additional checkpoint (`chck_100M`), adhering to the challenge's guidelines.
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## Model Description
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This model is a pre-trained version of the GPT-2 architecture.
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It achieves the following results on the evaluation set:
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- Loss: 3.0628
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- Accuracy: 0.4521
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 190
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- training_steps: 19000
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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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| 5.579 | 0.1024 | 200 | 4.7677 | 0.3189 |
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| 4.7716 | 0.2048 | 400 | 4.3385 | 0.3544 |
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| 4.5162 | 0.3072 | 600 | 4.1772 | 0.3593 |
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| 4.4056 | 0.4096 | 800 | 4.0754 | 0.3693 |
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| 4.3138 | 0.5120 | 1000 | 4.0143 | 0.3626 |
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| 4.2148 | 0.6144 | 1200 | 3.9601 | 0.3554 |
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| 4.1925 | 0.7168 | 1400 | 3.9019 | 0.3723 |
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| 4.0293 | 0.8193 | 1600 | 3.8579 | 0.3749 |
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| 3.9407 | 0.9217 | 1800 | 3.8101 | 0.3782 |
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| 3.8371 | 1.0241 | 2000 | 3.7870 | 0.3721 |
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| 3.0659 | 2.0481 | 4000 | 3.4672 | 0.4085 |
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| 2.6866 | 3.0722 | 6000 | 3.2850 | 0.4316 |
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| 2.5063 | 4.0963 | 8000 | 3.1963 | 0.4372 |
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| 2.4139 | 5.1203 | 10000 | 3.1406 | 0.4442 |
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| 2.3246 | 6.1444 | 12000 | 3.1152 | 0.4484 |
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| 2.3111 | 7.1685 | 14000 | 3.0879 | 0.4489 |
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| 2.2761 | 8.1925 | 16000 | 3.0668 | 0.4542 |
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| 2.2231 | 9.2166 | 18000 | 3.0695 | 0.4517 |
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### Framework versions
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- Transformers 4.50.3
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- Pytorch 2.7.1+cu126
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- Datasets 3.6.0
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- Tokenizers 0.21.4
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