fnet-base-Financial_Sentiment_Analysis

作者 DunnBC22 · 下载 1 · 点赞 1 · 更新 2023-11-02

generated_from_trainer

fnet-base-Financial_Sentiment_Analysis

This model is a fine-tuned version of google/fnet-base.

It achieves the following results on the evaluation set:

Model description

This is a sentiment analysis (text classification) model of statements about finances.

For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Sentiment Analysis/Financial Sentiment Analysis/Financial_Sentiment_Analysis_v2.ipynb

Intended uses & limitations

This model is intended to demonstrate my ability to solve a complex problem using technology.

Training and evaluation data

Dataset Sources:

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Accuracy Weighted F1 Micro F1 Macro F1 Weighted Recall Micro Recall Macro Recall Weighted Precision Micro Precision Macro Precision
0.6116 1.0 134 0.5127 0.6304 0.5606 0.6304 0.4705 0.6304 0.6304 0.5272 0.6722 0.6304 0.6103
0.4497 2.0 268 0.3885 0.7578 0.7490 0.7578 0.6783 0.7578 0.7578 0.6636 0.7677 0.7578 0.7196
0.3319 3.0 402 0.3546 0.7799 0.7784 0.7799 0.7185 0.7799 0.7799 0.7167 0.7979 0.7799 0.7440
0.2953 4.0 536 0.3312 0.8117 0.8105 0.8117 0.7435 0.8117 0.8117 0.7356 0.8111 0.8117 0.7532
0.2446 5.0 670 0.3281 0.8117 0.8110 0.8117 0.7472 0.8117 0.8117 0.7394 0.8144 0.8117 0.7588

Framework versions