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hist-l2_tenKQ_pretrain-mlep-slcl-spo-tssp_v11 – AI Model by Arthur-Tsai | AlphaNeural AI
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hist-l2_tenKQ_pretrain-mlep-slcl-spo-tssp_v11
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transformers
tensorboard
safetensors
hierarchical-sentence-transformer-v2
generated_from_trainer
endpoints_compatible
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hist-l2_tenKQ_pretrain-mlep-slcl-spo-tssp_v11
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2007
eval_loss_mlep: 0.0396
eval_loss_slcl: 0.0673
eval_loss_tssp: 0.0760
eval_loss_spo: 0.0178
eval_macro_f1: 0.4670
eval_neg_loss: -0.2007
eval_runtime: 88.8851
eval_samples_per_second: 22.501
eval_steps_per_second: 2.813
epoch: 0.0001
step: 31
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 15035
training_steps: 300701
Framework versions
Transformers 4.46.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.1
