tapt_helpfulness_base_pretraining_model – AI Model by BigTMiami | AlphaNeural AI

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BigTMiami/
tapt_helpfulness_base_pretraining_model

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FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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tapt_helpfulness_base_pretraining_model

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

Loss: 1.4502

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 11
total_train_batch_size: 352
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.9099	0.97	27	1.6497
1.716	1.98	55	1.6088
1.6549	2.99	83	1.5624
1.6585	3.97	110	1.5455
1.557	4.98	138	1.5446
1.5142	5.99	166	1.5057
1.4788	7.0	194	1.4934
1.5057	7.97	221	1.4714
1.4232	8.98	249	1.4541
1.3778	9.74	270	1.4498

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2