test_trainer

This model is a fine-tuned version of FinanceInc/finbert-pretrain on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 9.5916
• Accuracy: 0.0001

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: 40
• eval_batch_size: 40
• 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	Accuracy
9.6334	1.0	2975	9.6220	0.0001
9.6098	2.0	5950	9.6034	0.0001
9.6041	3.0	8925	9.5916	0.0001

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.0
• Tokenizers 0.13.2