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bert-base-uncased-iris

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Files changed (11) hide show
  1. README.md +89 -0
  2. config.json +37 -0
  3. model.safetensors +3 -0
  4. runs/Mar20_16-43-10_d3ed05720702/events.out.tfevents.1710953062.d3ed05720702.5451.0 +3 -0
  5. runs/Mar20_16-47-40_d3ed05720702/events.out.tfevents.1710953265.d3ed05720702.5451.1 +3 -0
  6. runs/Mar20_16-47-40_d3ed05720702/events.out.tfevents.1710953571.d3ed05720702.5451.2 +3 -0
  7. special_tokens_map.json +7 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +55 -0
  10. training_args.bin +3 -0
  11. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-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: bert-base-uncased-iris
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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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+ # bert-base-uncased-iris
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0008
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+ - Accuracy: 1.0
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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: 8
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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: 30
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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 | 19 | 0.8173 | 0.6667 |
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+ | No log | 2.0 | 38 | 0.5140 | 0.94 |
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+ | 0.7884 | 3.0 | 57 | 0.3626 | 0.9267 |
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+ | 0.7884 | 4.0 | 76 | 0.1970 | 0.98 |
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+ | 0.7884 | 5.0 | 95 | 0.1996 | 0.9467 |
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+ | 0.2786 | 6.0 | 114 | 0.0958 | 0.9733 |
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+ | 0.2786 | 7.0 | 133 | 0.0897 | 0.98 |
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+ | 0.1137 | 8.0 | 152 | 0.0727 | 0.98 |
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+ | 0.1137 | 9.0 | 171 | 0.0495 | 0.98 |
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+ | 0.1137 | 10.0 | 190 | 0.0202 | 0.9933 |
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+ | 0.0582 | 11.0 | 209 | 0.0767 | 0.98 |
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+ | 0.0582 | 12.0 | 228 | 0.0042 | 1.0 |
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+ | 0.0582 | 13.0 | 247 | 0.0034 | 1.0 |
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+ | 0.0367 | 14.0 | 266 | 0.0027 | 1.0 |
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+ | 0.0367 | 15.0 | 285 | 0.0016 | 1.0 |
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+ | 0.0188 | 16.0 | 304 | 0.0014 | 1.0 |
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+ | 0.0188 | 17.0 | 323 | 0.0073 | 1.0 |
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+ | 0.0188 | 18.0 | 342 | 0.0012 | 1.0 |
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+ | 0.029 | 19.0 | 361 | 0.0012 | 1.0 |
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+ | 0.029 | 20.0 | 380 | 0.0011 | 1.0 |
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+ | 0.029 | 21.0 | 399 | 0.0010 | 1.0 |
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+ | 0.0019 | 22.0 | 418 | 0.0009 | 1.0 |
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+ | 0.0019 | 23.0 | 437 | 0.0009 | 1.0 |
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+ | 0.0015 | 24.0 | 456 | 0.0009 | 1.0 |
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+ | 0.0015 | 25.0 | 475 | 0.0008 | 1.0 |
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+ | 0.0015 | 26.0 | 494 | 0.0008 | 1.0 |
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+ | 0.0013 | 27.0 | 513 | 0.0008 | 1.0 |
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+ | 0.0013 | 28.0 | 532 | 0.0008 | 1.0 |
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+ | 0.0013 | 29.0 | 551 | 0.0008 | 1.0 |
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+ | 0.0013 | 30.0 | 570 | 0.0008 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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