End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
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-wallstreetcn-morning-news-market-overview-SSE50-12
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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-wallstreetcn-morning-news-market-overview-SSE50-12
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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: 1.9030
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- Accuracy: 0.7879
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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 | 34 | 2.2065 | 0.6667 |
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| No log | 2.0 | 68 | 2.7159 | 0.7273 |
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| No log | 3.0 | 102 | 2.6006 | 0.6970 |
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| No log | 4.0 | 136 | 2.2278 | 0.7273 |
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| No log | 5.0 | 170 | 3.0872 | 0.6667 |
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| No log | 6.0 | 204 | 1.7348 | 0.7273 |
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| No log | 7.0 | 238 | 1.8437 | 0.7879 |
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| No log | 8.0 | 272 | 1.7299 | 0.7576 |
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| No log | 9.0 | 306 | 1.9420 | 0.7879 |
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| No log | 10.0 | 340 | 1.9030 | 0.7879 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 409145137
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version https://git-lfs.github.com/spec/v1
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oid sha256:61e121c9ec806f5281fc9fdb9feed83f1b2d7fddf8ad45e20929ef832aaa9ed9
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size 409145137
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