clackshen
/

roberta-base_ag_news2

Text Classification

Generated from Trainer

text-embeddings-inference

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roberta-base_ag_news2

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

Loss: 0.4152

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.3815	1.0	375	0.4152
0.4249	2.0	750	0.4616
0.3977	3.0	1125	0.4938
0.1759	4.0	1500	0.5023
0.0791	5.0	1875	0.5065

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

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