Startup-Exchange/tps_sentimental_analysis

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tpssentimentalanalysis

This model is a fine-tuned version of bert-base-uncased on the financial_phrasebank dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2586
• —Accuracy: 0.9604

Model description

A fine-tuned version of bert-base-uncased

Intended uses & limitations

Sentimental Analysis | Lines | Emotions | |:-----:|:--------:| |Hi, Harper. I’m really happy you came.| Positive | |Happy Father’s Day.| Positive | |It was Christmas.| Neutral | |HARPER sits at a table alone in a room.| Neutral | |I am mad at you badly.| Negative |

Training and evaluation data

financial_phrasebank

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.30.1
• —Pytorch 2.1.0+cu118
• —Tokenizers 0.13.3