已保存的文件元数据（13 个文件）
历史来源元数据，不是文件的副本。校验和不能证明当前可用。
model.safetensors
724c214032c16421b313e91075cb76a07eb5f2c7048e9957593a0e6c254e0cf9
tokenizer.json
未记录 SHA-256
vocab.json
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merges.txt
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runs/May29_14-22-20_iit-p/events.out.tfevents.1716972743.iit-p.6762.0
62d8b3f3f77a43aa5cd3e014b40cb7b7ba0052ae456f1975ae3108d4842dfe64
runs/May29_13-24-06_iit-p/events.out.tfevents.1716969251.iit-p.5298.0
46272590a4bbb5249695fdad295aeeee0857f69e06f65185dfb4e7b21be63402
runs/May29_14-11-05_iit-p/events.out.tfevents.1716972068.iit-p.6389.0
5e1b02c99fc48deb43b038c0ea49f40f7906f2ede3299c775807e66d6217f656
training_args.bin
de753830e13b1d6c8d58d4559b0a18e8467e768ed24a08f4b23f7abac70b0742
config.json
未记录 SHA-256
.gitattributes
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tokenizer_config.json
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README.md
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special_tokens_map.json
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已保存的模型卡（历史版本）
bart_classification
This model is a fine-tuned version of facebook/bart-base on the None dataset.
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
模型讨论
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