metadata
license: apache-2.0
base_model: Langboat/mengzi-bert-base-fin
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: >-
mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v1
results: []
mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v1
This model is a fine-tuned version of Langboat/mengzi-bert-base-fin on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0486
- F1: 0.4706
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 38 | 0.6755 | 0.0 |
| No log | 2.0 | 76 | 0.6067 | 0.2857 |
| No log | 3.0 | 114 | 0.6956 | 0.4211 |
| No log | 4.0 | 152 | 0.5666 | 0.5714 |
| No log | 5.0 | 190 | 0.6870 | 0.4444 |
| No log | 6.0 | 228 | 0.8044 | 0.4706 |
| No log | 7.0 | 266 | 0.9209 | 0.4706 |
| No log | 8.0 | 304 | 0.9736 | 0.4706 |
| No log | 9.0 | 342 | 1.0042 | 0.4706 |
| No log | 10.0 | 380 | 1.0486 | 0.4706 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3