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End of training

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  1. README.md +73 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: ec_classfication_0502_distilbert_base_uncased
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ec_classfication_0502_distilbert_base_uncased
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9120
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+ - F1: 0.8222
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 59 | 0.6145 | 0.5753 |
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+ | No log | 2.0 | 118 | 0.5000 | 0.7619 |
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+ | No log | 3.0 | 177 | 0.5990 | 0.7 |
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+ | No log | 4.0 | 236 | 0.5030 | 0.8235 |
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+ | No log | 5.0 | 295 | 0.6379 | 0.8478 |
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+ | No log | 6.0 | 354 | 0.6739 | 0.8478 |
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+ | No log | 7.0 | 413 | 0.7597 | 0.8090 |
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+ | No log | 8.0 | 472 | 0.7854 | 0.8222 |
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+ | 0.1878 | 9.0 | 531 | 0.8594 | 0.8222 |
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+ | 0.1878 | 10.0 | 590 | 0.8947 | 0.8090 |
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+ | 0.1878 | 11.0 | 649 | 0.9086 | 0.8222 |
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+ | 0.1878 | 12.0 | 708 | 0.9130 | 0.8222 |
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+ | 0.1878 | 13.0 | 767 | 0.9070 | 0.8222 |
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+ | 0.1878 | 14.0 | 826 | 0.9117 | 0.8222 |
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+ | 0.1878 | 15.0 | 885 | 0.9120 | 0.8222 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.3
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.2
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