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contract_sections_with_labels_for_text_classification_v2

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marcelovidigal/contract_sections_with_labels_for_text_classification_v2

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  2. README.md +163 -199
  3. config.json +32 -0
  4. model.safetensors +3 -0
  5. runs/Sep27_22-13-24_mace10/events.out.tfevents.1727486005.mace10.34208.3 +3 -0
  6. training_args.bin +3 -0
  7. wandb/run-20240927_215039-26zv6kle/files/config.yaml +52 -0
  8. wandb/run-20240927_215039-26zv6kle/files/output.log +8 -0
  9. wandb/run-20240927_215039-26zv6kle/files/requirements.txt +601 -0
  10. wandb/run-20240927_215039-26zv6kle/files/wandb-metadata.json +52 -0
  11. wandb/run-20240927_215039-26zv6kle/files/wandb-summary.json +1 -0
  12. wandb/run-20240927_215039-26zv6kle/logs/debug-internal.log +435 -0
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  15. wandb/run-20240927_215357-j5axkvdd/files/config.yaml +727 -0
  16. wandb/run-20240927_215357-j5axkvdd/files/output.log +318 -0
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  19. wandb/run-20240927_215357-j5axkvdd/files/wandb-summary.json +1 -0
  20. wandb/run-20240927_215357-j5axkvdd/logs/debug-internal.log +3 -0
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README.md CHANGED
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+ ---
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-multilingual-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: contract_sections_with_labels_for_text_classification_v2
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mvgdr/retrieval_augmented_generation/runs/itp2xcvi)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mvgdr/retrieval_augmented_generation/runs/itp2xcvi)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mvgdr/retrieval_augmented_generation/runs/itp2xcvi)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mvgdr/retrieval_augmented_generation/runs/j5axkvdd)
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+ # contract_sections_with_labels_for_text_classification_v2
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1120
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+ - Accuracy: 0.9898
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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: 1e-06
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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: 100
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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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+ | 0.0995 | 1.0 | 1000 | 0.2133 | 0.9347 |
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+ | 0.0474 | 2.0 | 2000 | 0.1669 | 0.97 |
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+ | 0.0334 | 3.0 | 3000 | 0.1288 | 0.9778 |
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+ | 0.0263 | 4.0 | 4000 | 0.1607 | 0.9782 |
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+ | 0.0214 | 5.0 | 5000 | 0.1630 | 0.9778 |
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+ | 0.0226 | 6.0 | 6000 | 0.1770 | 0.9712 |
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+ | 0.0179 | 7.0 | 7000 | 0.1260 | 0.9835 |
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+ | 0.0128 | 8.0 | 8000 | 0.1742 | 0.9755 |
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+ | 0.0166 | 9.0 | 9000 | 0.1230 | 0.9835 |
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+ | 0.0185 | 10.0 | 10000 | 0.1191 | 0.9848 |
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+ | 0.0139 | 11.0 | 11000 | 0.1255 | 0.984 |
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+ | 0.0147 | 12.0 | 12000 | 0.1247 | 0.9855 |
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+ | 0.0086 | 13.0 | 13000 | 0.1242 | 0.9852 |
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+ | 0.0062 | 14.0 | 14000 | 0.1209 | 0.9858 |
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+ | 0.0067 | 15.0 | 15000 | 0.1205 | 0.9852 |
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+ | 0.0087 | 16.0 | 16000 | 0.1295 | 0.9838 |
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+ | 0.0086 | 17.0 | 17000 | 0.1319 | 0.9835 |
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+ | 0.0047 | 18.0 | 18000 | 0.1165 | 0.9855 |
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+ | 0.0076 | 19.0 | 19000 | 0.1166 | 0.983 |
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+ | 0.0048 | 20.0 | 20000 | 0.1227 | 0.9855 |
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+ | 0.0037 | 21.0 | 21000 | 0.1216 | 0.9855 |
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+ | 0.0073 | 22.0 | 22000 | 0.1157 | 0.9848 |
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+ | 0.0083 | 23.0 | 23000 | 0.1193 | 0.9832 |
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+ | 0.0037 | 24.0 | 24000 | 0.1090 | 0.9862 |
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+ | 0.01 | 25.0 | 25000 | 0.1183 | 0.9855 |
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+ | 0.0063 | 26.0 | 26000 | 0.1129 | 0.9862 |
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+ | 0.006 | 27.0 | 27000 | 0.1101 | 0.986 |
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+ | 0.005 | 28.0 | 28000 | 0.1155 | 0.9838 |
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+ | 0.0024 | 29.0 | 29000 | 0.1005 | 0.989 |
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+ | 0.0067 | 30.0 | 30000 | 0.0998 | 0.9895 |
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+ | 0.0054 | 31.0 | 31000 | 0.1235 | 0.9888 |
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+ | 0.0064 | 32.0 | 32000 | 0.0966 | 0.9895 |
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+ | 0.003 | 33.0 | 33000 | 0.1013 | 0.9902 |
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+ | 0.0032 | 34.0 | 34000 | 0.1012 | 0.9898 |
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+ | 0.0033 | 35.0 | 35000 | 0.0981 | 0.9895 |
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+ | 0.0044 | 36.0 | 36000 | 0.1045 | 0.9898 |
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+ | 0.0029 | 37.0 | 37000 | 0.1032 | 0.99 |
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+ | 0.0043 | 38.0 | 38000 | 0.1370 | 0.9848 |
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+ | 0.0055 | 39.0 | 39000 | 0.1015 | 0.9902 |
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+ | 0.0031 | 40.0 | 40000 | 0.1029 | 0.9898 |
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+ | 0.0023 | 41.0 | 41000 | 0.1013 | 0.9895 |
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+ | 0.0051 | 42.0 | 42000 | 0.0969 | 0.9895 |
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+ | 0.0035 | 43.0 | 43000 | 0.1028 | 0.9895 |
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+ | 0.0055 | 44.0 | 44000 | 0.1237 | 0.985 |
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+ | 0.0062 | 45.0 | 45000 | 0.1087 | 0.9895 |
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+ | 0.0036 | 46.0 | 46000 | 0.1016 | 0.9908 |
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+ | 0.0039 | 47.0 | 47000 | 0.1023 | 0.9908 |
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+ | 0.0036 | 48.0 | 48000 | 0.1039 | 0.9902 |
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+ | 0.003 | 49.0 | 49000 | 0.1290 | 0.9852 |
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+ | 0.0029 | 50.0 | 50000 | 0.1092 | 0.9905 |
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+ | 0.0054 | 51.0 | 51000 | 0.1053 | 0.9895 |
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+ | 0.002 | 52.0 | 52000 | 0.1039 | 0.9898 |
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+ | 0.0056 | 53.0 | 53000 | 0.1050 | 0.9892 |
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+ | 0.0032 | 54.0 | 54000 | 0.0996 | 0.99 |
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+ | 0.0042 | 55.0 | 55000 | 0.1013 | 0.9895 |
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+ | 0.0033 | 56.0 | 56000 | 0.0965 | 0.9902 |
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+ | 0.0035 | 57.0 | 57000 | 0.1027 | 0.9898 |
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+ | 0.0049 | 58.0 | 58000 | 0.1016 | 0.9898 |
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+ | 0.003 | 59.0 | 59000 | 0.0992 | 0.9902 |
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+ | 0.0033 | 60.0 | 60000 | 0.1005 | 0.9902 |
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+ | 0.0035 | 61.0 | 61000 | 0.1045 | 0.99 |
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+ | 0.004 | 62.0 | 62000 | 0.1030 | 0.9902 |
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+ | 0.0038 | 63.0 | 63000 | 0.1082 | 0.9905 |
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+ | 0.0013 | 64.0 | 64000 | 0.1146 | 0.9895 |
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+ | 0.0046 | 65.0 | 65000 | 0.1075 | 0.9905 |
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+ | 0.0028 | 66.0 | 66000 | 0.1058 | 0.99 |
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+ | 0.0064 | 67.0 | 67000 | 0.1019 | 0.9898 |
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+ | 0.0035 | 68.0 | 68000 | 0.1061 | 0.9895 |
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+ | 0.0036 | 69.0 | 69000 | 0.1086 | 0.9895 |
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+ | 0.0014 | 70.0 | 70000 | 0.1112 | 0.9895 |
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+ | 0.0031 | 71.0 | 71000 | 0.1104 | 0.9902 |
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+ | 0.0022 | 72.0 | 72000 | 0.1099 | 0.9902 |
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+ | 0.0041 | 73.0 | 73000 | 0.1068 | 0.99 |
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+ | 0.0049 | 74.0 | 74000 | 0.1088 | 0.9898 |
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+ | 0.0034 | 75.0 | 75000 | 0.1100 | 0.9898 |
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+ | 0.0044 | 76.0 | 76000 | 0.1111 | 0.9898 |
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+ | 0.0027 | 77.0 | 77000 | 0.1096 | 0.9898 |
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+ | 0.0016 | 78.0 | 78000 | 0.1096 | 0.9898 |
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+ | 0.0029 | 79.0 | 79000 | 0.1023 | 0.99 |
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+ | 0.005 | 80.0 | 80000 | 0.1040 | 0.9898 |
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+ | 0.0034 | 81.0 | 81000 | 0.1052 | 0.9898 |
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+ | 0.0027 | 82.0 | 82000 | 0.1059 | 0.9898 |
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+ | 0.0032 | 83.0 | 83000 | 0.1071 | 0.9898 |
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+ | 0.0022 | 84.0 | 84000 | 0.1056 | 0.9898 |
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+ | 0.0029 | 85.0 | 85000 | 0.1062 | 0.9898 |
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+ | 0.0028 | 86.0 | 86000 | 0.1055 | 0.9898 |
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+ | 0.0036 | 87.0 | 87000 | 0.1083 | 0.9898 |
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+ | 0.0038 | 88.0 | 88000 | 0.1087 | 0.9898 |
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+ | 0.0021 | 89.0 | 89000 | 0.1114 | 0.9898 |
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+ | 0.0035 | 90.0 | 90000 | 0.1114 | 0.9898 |
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+ | 0.0033 | 91.0 | 91000 | 0.1112 | 0.9898 |
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+ | 0.0053 | 92.0 | 92000 | 0.1115 | 0.9898 |
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+ | 0.0034 | 93.0 | 93000 | 0.1117 | 0.9898 |
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+ | 0.0029 | 94.0 | 94000 | 0.1106 | 0.9898 |
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+ | 0.0038 | 95.0 | 95000 | 0.1104 | 0.9898 |
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+ | 0.0032 | 96.0 | 96000 | 0.1108 | 0.9898 |
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+ | 0.0042 | 97.0 | 97000 | 0.1112 | 0.9898 |
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+ | 0.0028 | 98.0 | 98000 | 0.1120 | 0.9898 |
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+ | 0.0044 | 99.0 | 99000 | 0.1120 | 0.9898 |
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+ | 0.0033 | 100.0 | 100000 | 0.1120 | 0.9898 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 105879
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+ }
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1
+
2
+ device: cuda
3
+ [{"variableName": "dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "dados_tokenizados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "ds_dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "id_para_rotulo", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "logits", "type": "tensor", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "rotulo_para_id", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}]
4
+ [{"variableName": "dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "dados_tokenizados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "ds_dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "id_para_rotulo", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "logits", "type": "tensor", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "rotulo_para_id", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}]
5
+ [{"variableName": "dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "dados_tokenizados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "ds_dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "id_para_rotulo", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "logits", "type": "tensor", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "rotulo_para_id", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}]
6
+ [{"variableName": "dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "dados_tokenizados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "ds_dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "id_para_rotulo", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "logits", "type": "tensor", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "rotulo_para_id", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}]
7
+ [{"variableName": "dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "dados_tokenizados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "ds_dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "id_para_rotulo", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "logits", "type": "tensor", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "rotulo_para_id", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}]
8
+ [{"variableName": "dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "dados_tokenizados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "ds_dados", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "id_para_rotulo", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "logits", "type": "tensor", "supportedEngines": ["pandas"], "isLocalVariable": false}, {"variableName": "rotulo_para_id", "type": "dictionary", "supportedEngines": ["pandas"], "isLocalVariable": false}]
9
+ Some weights of BertForSequenceClassification were not initialized from the model checkpoint at google-bert/bert-base-multilingual-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']
10
+ You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
11
+ c:\Program Files\Python311\Lib\site-packages\transformers\models\bert\modeling_bert.py:439: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:555.)
12
+ attn_output = torch.nn.functional.scaled_dot_product_attention(
13
+ {'loss': 0.3803, 'grad_norm': 3.2765989303588867, 'learning_rate': 9.95e-07, 'epoch': 0.5}
14
+ {'loss': 0.0995, 'grad_norm': 1.612058401107788, 'learning_rate': 9.9e-07, 'epoch': 1.0}
15
+ {'eval_loss': 0.21333587169647217, 'eval_accuracy': 0.93475, 'eval_runtime': 72.2317, 'eval_samples_per_second': 55.377, 'eval_steps_per_second': 6.922, 'epoch': 1.0}
16
+ {'loss': 0.0607, 'grad_norm': 0.28300702571868896, 'learning_rate': 9.849999999999999e-07, 'epoch': 1.5}
17
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