End of training
Browse files
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:
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- eval_batch_size:
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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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### Framework versions
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- Transformers 4.40.
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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### Framework versions
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+
- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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config.json
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.40.
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 249262
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 249262
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model.safetensors
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runs/May01_20-55-14_457d4f08721d/events.out.tfevents.1714596915.457d4f08721d.179.0
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runs/May01_20-55-14_457d4f08721d/events.out.tfevents.1714599312.457d4f08721d.179.1
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training_args.bin
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