End of training
Browse files- README.md +2 -2
- config.json +1 -1
- pytorch_model.bin +1 -1
- runs/May27_15-18-23_608f40e247da/1685200708.0785553/events.out.tfevents.1685200708.608f40e247da.388.1 +3 -0
- runs/May27_15-18-23_608f40e247da/1685201465.3469906/events.out.tfevents.1685201465.608f40e247da.388.2 +3 -0
- runs/May27_15-18-23_608f40e247da/events.out.tfevents.1685200708.608f40e247da.388.0 +3 -0
- runs/May27_15-31-16_608f40e247da/1685201477.1743934/events.out.tfevents.1685201477.608f40e247da.388.4 +3 -0
- runs/May27_15-31-16_608f40e247da/events.out.tfevents.1685201477.608f40e247da.388.3 +3 -0
- tokenizer.json +2 -2
- training_args.bin +1 -1
README.md
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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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:
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- mixed_precision_training: Native AMP
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### Training results
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 4
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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: 35
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- mixed_precision_training: Native AMP
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### Training results
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config.json
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"LABEL_1": 1
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"length_penalty": 1.0,
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"max_length":
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"max_position_embeddings": 1536,
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"min_length": 0,
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"model_type": "mbart",
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"LABEL_1": 1
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"length_penalty": 1.0,
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"model_type": "mbart",
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pytorch_model.bin
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runs/May27_15-18-23_608f40e247da/1685200708.0785553/events.out.tfevents.1685200708.608f40e247da.388.1
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runs/May27_15-31-16_608f40e247da/1685201477.1743934/events.out.tfevents.1685201477.608f40e247da.388.4
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tokenizer.json
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training_args.bin
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