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Child Mlm 13 Age 6 English13000

This model is a fine-tuned version of []( on an unknown dataset. It achieves the following results on the evaluation set: Loss: 2.5507

TipoOtherModelo baseRoBERTaVersiónRevision 312dfbcPublicador@HaerimCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
66,3 MB
Modelo base
RoBERTa
Versión
vRevision 312dfbc
Actualizado
2 oct 2026
Publicador
@Haerim
Descargas
9
Fuente
Hugging Face

Descripción de la fuente

child_mlm_13_age_6_english13000

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5507

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 13
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 40000
  • training_steps: 100000
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation Loss
7.93783.424720007.4307
6.00256.849340006.1396
5.809710.274060005.9920
5.713.698680005.8852
5.622917.1233100005.8101
5.570720.5479120005.7701
5.532523.9726140005.7250
5.510327.3973160005.7187
5.492630.8219180005.6950
5.477934.2466200005.6617
5.466737.6712220005.6535
5.454941.0959240005.6407
5.44744.5205260005.6238
5.442747.9452280005.6281
5.435751.3699300005.5902
5.427354.7945320005.6042
5.415358.2192340005.6070
5.404461.6438360005.5724
5.373265.0685380005.4713
4.047568.4932400003.9169
3.373671.9178420003.4696
3.121675.3425440003.2897
2.966278.7671460003.1836
2.861182.1918480003.0630
2.773585.6164500003.0043
2.702589.0411520002.9556
2.643792.4658540002.8897
2.593695.8904560002.8629
2.548899.3151580002.8152
2.5126102.7397600002.7620
2.4775106.1644620002.7396
2.4513109.5890640002.7507
2.4252113.0137660002.7198
2.4018116.4384680002.6986
2.3774119.8630700002.6626
2.3545123.2877720002.6517
2.3371126.7123740002.6366
2.3236130.1370760002.6254
2.3079133.5616780002.6190
2.2943136.9863800002.6061
2.2799140.4110820002.5938
2.2743143.8356840002.5870
2.2689147.2603860002.5730
2.2521150.6849880002.5595
2.2445154.1096900002.5722
2.2372157.5342920002.5529
2.2323160.9589940002.5445
2.2302164.3836960002.5487
2.2246167.8082980002.5398
2.2226171.23291000002.5507

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.11.0+cu128
  • Datasets 3.0.1
  • Tokenizers 0.20.1

Fuentes

1 fuente
Hugging FacePrincipalVersión 312dfbca40e82ee83da522257903c5c94ba873cf
huggingface.co/Haerim/child_mlm_13_age_6_english13000/tree/312dfbca40e82ee83da522257903c5c94ba873cf

Verificado 2 oct

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 66,3 MB · SHA-256 08b885380989…b998 · Hugging Face

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Extractos de fuentes

3 extractos

--- library_name: transformers tags: - generated_from_trainer model-index: - name: child_mlm_13_age_6_english13000 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # child_mlm_13_age_6_english13000 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.5507 ## 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: 0.0001 - train_batch_size: 16 - eval_batch_size: 16 - seed: 13 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 40000 - training_steps: 100000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:--------:|:------:|:---------------:| | 7.9378 | 3.4247 | 2000 | 7.4307 | | 6.0025 | 6.8493 | 4000 | 6.1396 | | 5.8097 | 10.2740 | 6000 | 5.9920 | | 5.7 | 13.6986 | 8000 | 5.8852 | | 5.6229 | 17.1233 | 10000 | 5.8101 | | 5.5707 | 20.5479 | 12000 | 5.7701 | | 5.5325 | 23.9726 | 14000 | 5.7250 | | 5.5103 | 27.3973 | 16000 | 5.7187 | | 5.4926 | 30.8219 | 18000 | 5.6950 | | 5.4779 | 34.2466 | 20000 | 5.6617 | | 5.4667 | 37.6712 | 22000 | 5.6535 | | 5.4549 | 41.0959 | 24000 | 5.6407 | | 5.447 | 44.5205 | 26000 | 5.6238 | | 5.4427 | 47.9452 | 28000 | 5.6281 | | 5.4357 | 51.3699 | 30000 | 5.5902 | | 5.4273 | 54.7945 | 32000 | 5.6042 | | 5.4153 | 58.2192 | 34000 | 5.6070 | | 5.4044 | 61.6438 | 36000 | 5.5724 | | 5.3732 | 65.0685 | 38000 | 5.4713 | | 4.0475 | 68.4932 | 40000 | 3.9169 | | 3.3736 | 71.9178 | 42000 | 3.4696 | | 3.1216 | 75.3425 | 44000 | 3.2897 | | 2.9662 | 78.7671 | 46000 | 3.1836 | | 2.8611 | 82.1918 | 48000 | 3.0630 | | 2.7735 | 85.6164 | 50000 | 3.0043 | | 2.7025 | 89.0411 | 52000 | 2.9556 | | 2.6437 | 92.4658 | 54000 | 2.8897 | | 2.5936 | 95.8904 | 56000 | 2.8629 | | 2.5488 | 99.3151 | 58000 | 2.8152 | | 2.5126 | 102.7397 | 60000 | 2.7620 | | 2.4775 | 106.164...

Source context: 9 downloads · 0 likes · Pipeline fill-mask · Library transformers · Repo Haerim/child_mlm_13_age_6_english13000

Source context: 2 downloads · 0 likes · Pipeline fill-mask · Library transformers · Repo Haerim/child_mlm_13_age_6_english13000