RoBERTa_EmpAI_FineTuned – AI Model by LuangMV97 | AlphaNeural AI

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LuangMV97/
RoBERTa_EmpAI_FineTuned

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FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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RoBERTa_EmpAI_FineTuned

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

Loss: 0.0707

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	483	7.4258
12.6437	2.0	967	2.1112
4.9019	3.0	1450	0.0872
0.4036	4.0	1934	0.0765
0.0802	4.99	2415	0.0754
0.0737	6.0	2898	0.0708
0.0749	7.0	3382	0.0705
0.0712	8.0	3865	0.0702
0.0708	9.0	4349	0.0692
0.0698	9.99	4830	0.0696

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2