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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: childes_clm_context_30 |
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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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# childes_clm_context_30 |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3503 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 30 |
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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: 100000 |
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- training_steps: 400000 |
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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 | |
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|:-------------:|:-------:|:-----:|:---------------:| |
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| 5.3831 | 3.5149 | 4000 | 4.0429 | |
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| 3.7776 | 7.0299 | 8000 | 3.5983 | |
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| 3.427 | 10.5448 | 12000 | 3.3933 | |
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| 3.1929 | 14.0598 | 16000 | 3.2864 | |
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| 3.0111 | 17.5747 | 20000 | 3.2382 | |
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| 2.865 | 21.0896 | 24000 | 3.2529 | |
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| 2.7295 | 24.6046 | 28000 | 3.2886 | |
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| 2.6194 | 28.1195 | 32000 | 3.3503 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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