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End of training

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  1. README.md +74 -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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+ base_model: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: afx-grouping-model
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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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+ # afx-grouping-model
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2028
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+ - Accuracy: 0.9535
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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 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 6 | 0.9196 | 0.7674 |
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+ | No log | 2.0 | 12 | 0.7855 | 0.7674 |
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+ | No log | 3.0 | 18 | 0.6770 | 0.8023 |
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+ | No log | 4.0 | 24 | 0.5790 | 0.8023 |
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+ | No log | 5.0 | 30 | 0.5071 | 0.8140 |
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+ | No log | 6.0 | 36 | 0.4437 | 0.8140 |
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+ | No log | 7.0 | 42 | 0.3850 | 0.8605 |
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+ | No log | 8.0 | 48 | 0.3380 | 0.8721 |
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+ | No log | 9.0 | 54 | 0.3005 | 0.8721 |
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+ | No log | 10.0 | 60 | 0.2700 | 0.8837 |
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+ | No log | 11.0 | 66 | 0.2449 | 0.9186 |
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+ | No log | 12.0 | 72 | 0.2265 | 0.9419 |
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+ | No log | 13.0 | 78 | 0.2136 | 0.9535 |
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+ | No log | 14.0 | 84 | 0.2057 | 0.9535 |
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+ | No log | 15.0 | 90 | 0.2028 | 0.9535 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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