Documentation | Bert4torch | Examples | Source code | build_MiniLLM_from_scratch
安装稳定版
pip install torch4keras
安装最新版
pip install git+https://github.com/Tongjilibo/torch4keras.git
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简述:抽象出来的Trainer,适用于一般神经网络的训练,仅需关注网络结构代码
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特色:进度条展示训练过程,自定义metric,自带Evaluator, Checkpoint, Tensorboard, Logger等Callback,也可自定义Callback
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初衷:前期功能是作为bert4torch和rec4torch的Trainer
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训练:
2022-10-28 23:16:10 - Start Training 2022-10-28 23:16:10 - Epoch: 1/5 5000/5000 [==============================] - 13s 3ms/step - loss: 0.1351 - acc: 0.9601 Evaluate: 100%|██████████████████████████████████████████████████| 2500/2500 [00:03<00:00, 798.09it/s] test_acc: 0.98045. best_test_acc: 0.98045 2022-10-28 23:16:27 - Epoch: 2/5 5000/5000 [==============================] - 13s 3ms/step - loss: 0.0465 - acc: 0.9862 Evaluate: 100%|██████████████████████████████████████████████████| 2500/2500 [00:03<00:00, 635.78it/s] test_acc: 0.98280. best_test_acc: 0.98280 2022-10-28 23:16:44 - Epoch: 3/5 5000/5000 [==============================] - 15s 3ms/step - loss: 0.0284 - acc: 0.9915 Evaluate: 100%|██████████████████████████████████████████████████| 2500/2500 [00:03<00:00, 673.60it/s] test_acc: 0.98365. best_test_acc: 0.98365 2022-10-28 23:17:03 - Epoch: 4/5 5000/5000 [==============================] - 15s 3ms/step - loss: 0.0179 - acc: 0.9948 Evaluate: 100%|██████████████████████████████████████████████████| 2500/2500 [00:03<00:00, 692.34it/s] test_acc: 0.98265. best_test_acc: 0.98365 2022-10-28 23:17:21 - Epoch: 5/5 5000/5000 [==============================] - 14s 3ms/step - loss: 0.0129 - acc: 0.9958 Evaluate: 100%|██████████████████████████████████████████████████| 2500/2500 [00:03<00:00, 701.77it/s] test_acc: 0.98585. best_test_acc: 0.98585 2022-10-28 23:17:37 - Finish Training
- 参考bert4torch的训练过程
- 简单示例: turorials_mnist
更新日期 | 版本 | 版本说明 |
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20240814 | v0.2.6 | 小修改(增加check_url_available_cached, 修复Timeit) |
20240730 | v0.2.5 | 小修改(print_table允许中文, 未安装torch时候仅提醒一次) |
20240619 | v0.2.4 | trainer中可调用nn.Module方法,增加AutoTrainer |
20240603 | v0.2.3 | 去除对torch依赖,snippets部分可用;移动bert4torch中snippets |