This model is a fine-tuned version of distilbert/distilroberta-base on the financial-reports-sec dataset. It achieves the following results on the evaluation set:

Loss: 1.4572

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.8137	1.0	235	1.5646
1.6397	2.0	470	1.4806
1.6004	3.0	705	1.4789

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

cm309/distilroberta-base-finetuned-Financial-News-Superior

distilroberta-base-finetuned-Financial-News-Superior

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cm309/
distilroberta-base-finetuned-Financial-News-Superior