Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
childes-segmentation-100k-gpt2_lm-model – AI Model by phonemetransformers | AlphaNeural AI
You can deploy this model and start earning money today!
phonemetransformers
/
childes-segmentation-100k-gpt2_lm-model
like
0
transformers
safetensors
gpt2
text-generation
Dutch
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
childes-segmentation-100k-gpt2_lm-model
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
epoch: 4000.0
eval_absolute_seg_boundary_fscore_Boundary Prediction: 0.6381
eval_absolute_seg_boundary_fscore_Entropy: 0.4936
eval_absolute_seg_boundary_fscore_Increase in Boundary Prediction: 0.6397
eval_absolute_seg_boundary_fscore_Increase in Entropy: 0.6171
eval_absolute_seg_boundary_fscore_Increase in Loss: 0.6068
eval_absolute_seg_boundary_fscore_Increase in Rank: 0.6806
eval_absolute_seg_boundary_fscore_Loss: 0.5355
eval_absolute_seg_boundary_fscore_Majority Vote Cutoff: 0.7011
eval_absolute_seg_boundary_fscore_Majority Vote Spike: 0.7273
eval_absolute_seg_boundary_fscore_Rank: 0.5571
eval_absolute_seg_type_fscore_Boundary Prediction: 0.1447
eval_absolute_seg_type_fscore_Entropy: 0.2626
eval_absolute_seg_type_fscore_Increase in Boundary Prediction: 0.3233
eval_absolute_seg_type_fscore_Increase in Entropy: 0.3100
eval_absolute_seg_type_fscore_Increase in Loss: 0.2509
eval_absolute_seg_type_fscore_Increase in Rank: 0.4174
eval_absolute_seg_type_fscore_Loss: 0.2412
eval_absolute_seg_type_fscore_Majority Vote Cutoff: 0.4319
eval_absolute_seg_type_fscore_Majority Vote Spike: 0.4164
eval_absolute_seg_type_fscore_Rank: 0.2972
eval_bpc: 4.4805
eval_loss: 3.1056
eval_model_preparation_time: 0.0008
eval_perplexity: 22.3231
eval_runtime: 47.9148
eval_samples_per_second: 2.964
eval_spike_seg_boundary_fscore_Boundary Prediction: 0.7308
eval_spike_seg_boundary_fscore_Entropy: 0.5944
eval_spike_seg_boundary_fscore_Increase in Boundary Prediction: 0.7195
eval_spike_seg_boundary_fscore_Increase in Entropy: 0.6282
eval_spike_seg_boundary_fscore_Increase in Loss: 0.6258
eval_spike_seg_boundary_fscore_Increase in Rank: 0.6735
eval_spike_seg_boundary_fscore_Loss: 0.5578
eval_spike_seg_boundary_fscore_Majority Vote Cutoff: 0.7329
eval_spike_seg_boundary_fscore_Majority Vote Spike: 0.7085
eval_spike_seg_boundary_fscore_Rank: 0.6106
eval_spike_seg_type_fscore_Boundary Prediction: 0.3885
eval_spike_seg_type_fscore_Entropy: 0.2817
eval_spike_seg_type_fscore_Increase in Boundary Prediction: 0.3610
eval_spike_seg_type_fscore_Increase in Entropy: 0.2866
eval_spike_seg_type_fscore_Increase in Loss: 0.3167
eval_spike_seg_type_fscore_Increase in Rank: 0.3724
eval_spike_seg_type_fscore_Loss: 0.2626
eval_spike_seg_type_fscore_Majority Vote Cutoff: 0.4120
eval_spike_seg_type_fscore_Majority Vote Spike: 0.3425
eval_spike_seg_type_fscore_Rank: 0.3228
eval_steps_per_second: 0.104
step: 100000
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 30000
training_steps: 100000
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.18.0
Tokenizers 0.19.1
