Model save
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- model.safetensors +1 -1
- trainer_state.json +0 -0
README.md
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This model is a fine-tuned version of [jhu-clsp/mmBERT-small](https://huggingface.co/jhu-clsp/mmBERT-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- F1:
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- Precision:
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- Recall:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 0
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- total_eval_batch_size:
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.01
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1
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### Framework versions
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This model is a fine-tuned version of [jhu-clsp/mmBERT-small](https://huggingface.co/jhu-clsp/mmBERT-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4605
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- F1: 81.8318
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- Precision: 81.8361
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- Recall: 81.8321
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 512
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- eval_batch_size: 512
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- seed: 0
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2048
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- total_eval_batch_size: 1024
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.01
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
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| 1.8064 | 1.0 | 1537 | 0.4447 | 80.9603 | 80.9710 | 81.0960 |
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| 1.6408 | 2.0 | 3074 | 0.4309 | 81.7277 | 81.8109 | 81.6765 |
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| 1.4703 | 3.0 | 4611 | 0.4252 | 82.1472 | 82.1151 | 82.1871 |
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| 1.3121 | 4.0 | 6148 | 0.4393 | 82.0532 | 82.0873 | 82.0275 |
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| 1.1733 | 5.0 | 7685 | 0.4605 | 81.8318 | 81.8361 | 81.8321 |
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### Framework versions
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model.safetensors
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trainer_state.json
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