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README.md
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---
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license: apache-2.0
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base_model: Langboat/mengzi-bert-base-fin
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: mengzi-bert-base-fin-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mengzi-bert-base-fin-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1
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This model is a fine-tuned version of [Langboat/mengzi-bert-base-fin](https://huggingface.co/Langboat/mengzi-bert-base-fin) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2948
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- Accuracy: 0.7241
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 38 | 0.6799 | 0.5517 |
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| No log | 2.0 | 76 | 0.6132 | 0.7241 |
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| No log | 3.0 | 114 | 0.6453 | 0.6207 |
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| No log | 4.0 | 152 | 0.7017 | 0.7586 |
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| No log | 5.0 | 190 | 0.9160 | 0.7241 |
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| No log | 6.0 | 228 | 1.0803 | 0.7586 |
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| No log | 7.0 | 266 | 1.1766 | 0.7241 |
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| No log | 8.0 | 304 | 1.1976 | 0.7586 |
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| No log | 9.0 | 342 | 1.2610 | 0.7241 |
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| No log | 10.0 | 380 | 1.2948 | 0.7241 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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