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BabyLM-community/eng-fas-baseline-small

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: eng-fas-baseline-small
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+ results: []
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+ ---
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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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+
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+ # eng-fas-baseline-small
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.2098
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 64
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+ - eval_batch_size: 8
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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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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 4.1607 | 1.0 | 11343 | 3.5536 |
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+ | 3.5237 | 2.0 | 22686 | 3.3561 |
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+ | 3.3926 | 3.0 | 34029 | 3.2746 |
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+ | 3.327 | 4.0 | 45372 | 3.2295 |
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+ | 3.2893 | 5.0 | 56715 | 3.2098 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.53.0
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+ - Pytorch 2.7.1+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.2
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+ "GPT2LMHeadModel"
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+ ],
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+ "layer_norm_epsilon": 1e-05,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.53.0",
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+ "use_cache": true,
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+ "vocab_size": 32768
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+ }
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