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+ ---
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+ base_model: fnlp/bart-base-chinese
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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: bart-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1
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+ results: []
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+ ---
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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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+
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+ # bart-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1
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+
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+ This model is a fine-tuned version of [fnlp/bart-base-chinese](https://huggingface.co/fnlp/bart-base-chinese) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2611
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+ - Accuracy: 0.5862
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 75 | 0.6801 | 0.5862 |
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+ | No log | 2.0 | 150 | 0.6871 | 0.5862 |
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+ | No log | 3.0 | 225 | 0.6725 | 0.5517 |
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+ | No log | 4.0 | 300 | 0.6327 | 0.6552 |
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+ | No log | 5.0 | 375 | 0.7839 | 0.5862 |
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+ | No log | 6.0 | 450 | 0.9481 | 0.5862 |
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+ | 0.6041 | 7.0 | 525 | 1.4396 | 0.5172 |
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+ | 0.6041 | 8.0 | 600 | 1.8405 | 0.6552 |
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+ | 0.6041 | 9.0 | 675 | 2.1651 | 0.5862 |
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+ | 0.6041 | 10.0 | 750 | 2.2611 | 0.5862 |
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+
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+
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+ ### Framework versions
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+
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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