allenai/tk-instruct-base-def-pos model fined tuned on custom KeyBert default keywords extracter model - all-MiniLM-L6-v2 and ABSA model - yangheng/deberta-v3-base-absa-v1.1 auto annotated hospital reviews [keywords,polarity] dataset.

Training Results:

Epoch | Training Loss | Validation Loss

1 | 0.150800 | 0.112104

2 | 0.103700 | 0.074400

3 | 0.074500 | 0.065034

4 | 0.065900 | 0.062676

5 | 0.059700 | 0.058017

6 | 0.050700 | 0.056635

7 | 0.046500 | 0.056589

8 | 0.046300 | 0.056924

Evaluation Results:

Train Precision: 0.9552227554840818

Train Recall: 0.9552107544443746

Train F1: 0.9552167549265339

Test Precision: 0.9300919842312746

Test Recall: 0.9301530981010578

Test F1: 0.9301225401622918

UnseenTest Precision: 0.9329632792485055

UnseenTest Recall: 0.9329632792485055

UnseenTest F1: 0.9329632792485054

Safetensors

Model size

0.2B params

Tensor type

F32

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