DuckyDuck123/bert-tiny-imdb

来源：🤗有风险🏴‍☠️ 救援者：isiliconmit4M 参数353 MBsafetensors✓ 7 个校验和267 天前更新

bert-tiny-imdb

This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset.

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.1526	1.0

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文件与来源

来源可在 🤗 获取

校验和7 个待记录

种子已收录磁力链接

节点群报告 0 个做种者

公开校验和记录将在下次同步时生成

权重

原版

F32351 MB
34 个文件
checkpoint-1563/optimizer.pt 35 MBcheckpoint-3126/optimizer.pt 35 MBcheckpoint-4689/optimizer.pt 35 MBcheckpoint-6252/optimizer.pt 35 MBcheckpoint-7815/optimizer.pt 35 MBcheckpoint-250/optimizer.pt 35 MBcheckpoint-250/model.safetensors 18 MBfinal/model.safetensors 18 MBcheckpoint-1563/model.safetensors 18 MBcheckpoint-3126/model.safetensors 18 MBcheckpoint-4689/model.safetensors 18 MBcheckpoint-6252/model.safetensors 18 MBcheckpoint-7815/model.safetensors 18 MBmodel.safetensors 18 MBcheckpoint-1563/rng_state.pth 14.6 kBcheckpoint-3126/rng_state.pth 14.6 kBcheckpoint-4689/rng_state.pth 14.6 kBcheckpoint-6252/rng_state.pth 14.6 kBcheckpoint-7815/rng_state.pth 14.6 kBcheckpoint-250/rng_state.pth 14.2 kBcheckpoint-1563/training_args.bin 5.2 kBcheckpoint-3126/training_args.bin 5.2 kBcheckpoint-4689/training_args.bin 5.2 kBcheckpoint-6252/training_args.bin 5.2 kBcheckpoint-7815/training_args.bin 5.2 kBtraining_args.bin 5.2 kBcheckpoint-250/training_args.bin 4.9 kBfinal/training_args.bin 4.9 kBcheckpoint-1563/scheduler.pt 1.5 kBcheckpoint-3126/scheduler.pt 1.5 kBcheckpoint-4689/scheduler.pt 1.5 kBcheckpoint-6252/scheduler.pt 1.5 kBcheckpoint-7815/scheduler.pt 1.5 kBcheckpoint-250/scheduler.pt 1.1 kB

模型家族

↑ 微调自 prajjwal1/bert-tiny