jpn-baseline-small – AI Model by BabyLM-community | AlphaNeural AI

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BabyLM-community/
jpn-baseline-small

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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jpn-baseline-small

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

Loss: 2.7324

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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.9496	1.0	2351	3.4641
3.365	2.0	4702	3.1854
3.1541	3.0	7053	3.0350
3.0258	4.0	9404	2.9401
2.9369	5.0	11755	2.8713
2.868	6.0	14106	2.8226
2.8159	7.0	16457	2.7853
2.7741	8.0	18808	2.7567
2.7428	9.0	21159	2.7413
2.7204	10.0	23510	2.7324

Framework versions

Transformers 4.53.0
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2