KanisornPutta/MichaelPorterJrBERT

Source: 🤗question-answeringapache-2.0109M params437 MBsafetensors✓ 13 checksumsupdated 555d ago

weights

This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5439

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.7022	1.0	2500	0.6527
0.5206	2.0	5000	0.5439

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

Weights

Original

F32436 MB
2 files
model.safetensors 436 MBtraining_args.bin 5.3 kB

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