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hai2131
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absa

Text Classification
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bert
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End of training

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  1. README.md +112 -0
  2. config.json +98 -0
  3. model.safetensors +3 -0
  4. runs/Apr02_10-21-14_282a37b54bd0/events.out.tfevents.1743589275.282a37b54bd0.1070.0 +3 -0
  5. special_tokens_map.json +7 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +56 -0
  8. training_args.bin +3 -0
  9. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ - f1
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+ model-index:
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+ - name: absa
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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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+ # absa
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6213
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+ - Accuracy: 0.7059
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+ - F1: 0.4389
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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: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 50
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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 | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 2.2394 | 1.0 | 149 | 1.5797 | 0.6125 | 0.1657 |
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+ | 1.505 | 2.0 | 298 | 1.3557 | 0.6370 | 0.1928 |
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+ | 1.2839 | 3.0 | 447 | 1.2337 | 0.6753 | 0.2603 |
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+ | 1.1167 | 4.0 | 596 | 1.1764 | 0.6868 | 0.2958 |
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+ | 0.9805 | 5.0 | 745 | 1.1334 | 0.6925 | 0.3355 |
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+ | 0.8614 | 6.0 | 894 | 1.1179 | 0.6954 | 0.3472 |
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+ | 0.7573 | 7.0 | 1043 | 1.1196 | 0.7011 | 0.3701 |
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+ | 0.6696 | 8.0 | 1192 | 1.1380 | 0.6992 | 0.3821 |
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+ | 0.5909 | 9.0 | 1341 | 1.1420 | 0.7031 | 0.3892 |
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+ | 0.5244 | 10.0 | 1490 | 1.1554 | 0.7021 | 0.3972 |
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+ | 0.4637 | 11.0 | 1639 | 1.1932 | 0.6978 | 0.3915 |
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+ | 0.4116 | 12.0 | 1788 | 1.2032 | 0.6968 | 0.4044 |
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+ | 0.3679 | 13.0 | 1937 | 1.2351 | 0.6892 | 0.3857 |
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+ | 0.3333 | 14.0 | 2086 | 1.2645 | 0.7035 | 0.4071 |
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+ | 0.303 | 15.0 | 2235 | 1.2936 | 0.6992 | 0.4183 |
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+ | 0.2743 | 16.0 | 2384 | 1.3310 | 0.7045 | 0.4082 |
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+ | 0.2504 | 17.0 | 2533 | 1.3357 | 0.7026 | 0.4339 |
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+ | 0.2295 | 18.0 | 2682 | 1.3274 | 0.7050 | 0.4347 |
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+ | 0.212 | 19.0 | 2831 | 1.3709 | 0.6949 | 0.4229 |
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+ | 0.1953 | 20.0 | 2980 | 1.3922 | 0.6949 | 0.4394 |
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+ | 0.1863 | 21.0 | 3129 | 1.4025 | 0.7011 | 0.4407 |
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+ | 0.1726 | 22.0 | 3278 | 1.4215 | 0.7040 | 0.4266 |
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+ | 0.1625 | 23.0 | 3427 | 1.4324 | 0.6887 | 0.4300 |
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+ | 0.1536 | 24.0 | 3576 | 1.4505 | 0.7040 | 0.4198 |
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+ | 0.1452 | 25.0 | 3725 | 1.4800 | 0.7064 | 0.4356 |
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+ | 0.1369 | 26.0 | 3874 | 1.4869 | 0.6988 | 0.4409 |
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+ | 0.1333 | 27.0 | 4023 | 1.5108 | 0.6978 | 0.4317 |
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+ | 0.1294 | 28.0 | 4172 | 1.4938 | 0.7021 | 0.4408 |
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+ | 0.1225 | 29.0 | 4321 | 1.5053 | 0.7021 | 0.4356 |
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+ | 0.1169 | 30.0 | 4470 | 1.5472 | 0.6959 | 0.4292 |
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+ | 0.1105 | 31.0 | 4619 | 1.5470 | 0.6988 | 0.4393 |
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+ | 0.1086 | 32.0 | 4768 | 1.5285 | 0.7007 | 0.4311 |
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+ | 0.1017 | 33.0 | 4917 | 1.5598 | 0.6949 | 0.4250 |
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+ | 0.1022 | 34.0 | 5066 | 1.5873 | 0.7059 | 0.4374 |
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+ | 0.0965 | 35.0 | 5215 | 1.5721 | 0.7045 | 0.4345 |
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+ | 0.0964 | 36.0 | 5364 | 1.5777 | 0.7055 | 0.4345 |
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+ | 0.0951 | 37.0 | 5513 | 1.5789 | 0.6940 | 0.4323 |
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+ | 0.0894 | 38.0 | 5662 | 1.5818 | 0.6954 | 0.4305 |
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+ | 0.0878 | 39.0 | 5811 | 1.5938 | 0.7083 | 0.4387 |
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+ | 0.0828 | 40.0 | 5960 | 1.6007 | 0.7064 | 0.4406 |
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+ | 0.0846 | 41.0 | 6109 | 1.6040 | 0.6983 | 0.4299 |
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+ | 0.0783 | 42.0 | 6258 | 1.6126 | 0.7055 | 0.4393 |
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+ | 0.0807 | 43.0 | 6407 | 1.6083 | 0.7002 | 0.4313 |
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+ | 0.0774 | 44.0 | 6556 | 1.6123 | 0.7059 | 0.4407 |
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+ | 0.0765 | 45.0 | 6705 | 1.6197 | 0.7055 | 0.4378 |
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+ | 0.0751 | 46.0 | 6854 | 1.6168 | 0.7055 | 0.4365 |
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+ | 0.0729 | 47.0 | 7003 | 1.6190 | 0.7074 | 0.4432 |
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+ | 0.0718 | 48.0 | 7152 | 1.6217 | 0.7055 | 0.4393 |
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+ | 0.0706 | 49.0 | 7301 | 1.6212 | 0.7069 | 0.4401 |
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+ | 0.0665 | 50.0 | 7450 | 1.6213 | 0.7059 | 0.4389 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.50.2
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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