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--- |
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library_name: transformers |
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tags: |
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- Dutch |
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- generated_from_trainer |
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model-index: |
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- name: childes-segmentation-100k-gpt2_lm-model |
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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-segmentation-100k-gpt2_lm-model |
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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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- epoch: 4000.0 |
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- eval_absolute_seg_boundary_fscore_Boundary Prediction: 0.6381 |
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- eval_absolute_seg_boundary_fscore_Entropy: 0.4936 |
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- eval_absolute_seg_boundary_fscore_Increase in Boundary Prediction: 0.6397 |
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- eval_absolute_seg_boundary_fscore_Increase in Entropy: 0.6171 |
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- eval_absolute_seg_boundary_fscore_Increase in Loss: 0.6068 |
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- eval_absolute_seg_boundary_fscore_Increase in Rank: 0.6806 |
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- eval_absolute_seg_boundary_fscore_Loss: 0.5355 |
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- eval_absolute_seg_boundary_fscore_Majority Vote Cutoff: 0.7011 |
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- eval_absolute_seg_boundary_fscore_Majority Vote Spike: 0.7273 |
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- eval_absolute_seg_boundary_fscore_Rank: 0.5571 |
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- eval_absolute_seg_type_fscore_Boundary Prediction: 0.1447 |
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- eval_absolute_seg_type_fscore_Entropy: 0.2626 |
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- eval_absolute_seg_type_fscore_Increase in Boundary Prediction: 0.3233 |
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- eval_absolute_seg_type_fscore_Increase in Entropy: 0.3100 |
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- eval_absolute_seg_type_fscore_Increase in Loss: 0.2509 |
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- eval_absolute_seg_type_fscore_Increase in Rank: 0.4174 |
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- eval_absolute_seg_type_fscore_Loss: 0.2412 |
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- eval_absolute_seg_type_fscore_Majority Vote Cutoff: 0.4319 |
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- eval_absolute_seg_type_fscore_Majority Vote Spike: 0.4164 |
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- eval_absolute_seg_type_fscore_Rank: 0.2972 |
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- eval_bpc: 4.4805 |
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- eval_loss: 3.1056 |
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- eval_model_preparation_time: 0.0008 |
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- eval_perplexity: 22.3231 |
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- eval_runtime: 47.9148 |
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- eval_samples_per_second: 2.964 |
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- eval_spike_seg_boundary_fscore_Boundary Prediction: 0.7308 |
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- eval_spike_seg_boundary_fscore_Entropy: 0.5944 |
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- eval_spike_seg_boundary_fscore_Increase in Boundary Prediction: 0.7195 |
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- eval_spike_seg_boundary_fscore_Increase in Entropy: 0.6282 |
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- eval_spike_seg_boundary_fscore_Increase in Loss: 0.6258 |
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- eval_spike_seg_boundary_fscore_Increase in Rank: 0.6735 |
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- eval_spike_seg_boundary_fscore_Loss: 0.5578 |
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- eval_spike_seg_boundary_fscore_Majority Vote Cutoff: 0.7329 |
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- eval_spike_seg_boundary_fscore_Majority Vote Spike: 0.7085 |
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- eval_spike_seg_boundary_fscore_Rank: 0.6106 |
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- eval_spike_seg_type_fscore_Boundary Prediction: 0.3885 |
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- eval_spike_seg_type_fscore_Entropy: 0.2817 |
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- eval_spike_seg_type_fscore_Increase in Boundary Prediction: 0.3610 |
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- eval_spike_seg_type_fscore_Increase in Entropy: 0.2866 |
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- eval_spike_seg_type_fscore_Increase in Loss: 0.3167 |
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- eval_spike_seg_type_fscore_Increase in Rank: 0.3724 |
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- eval_spike_seg_type_fscore_Loss: 0.2626 |
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- eval_spike_seg_type_fscore_Majority Vote Cutoff: 0.4120 |
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- eval_spike_seg_type_fscore_Majority Vote Spike: 0.3425 |
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- eval_spike_seg_type_fscore_Rank: 0.3228 |
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- eval_steps_per_second: 0.104 |
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- step: 100000 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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: 30000 |
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- training_steps: 100000 |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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