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distilbert-base-cased-airlines-news-multi-label-8-actions

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  1. README.md +106 -0
  2. config.json +46 -0
  3. model.safetensors +3 -0
  4. runs/Jul07_23-13-09_ubuntu-System-Product-Name/events.out.tfevents.1720365191.ubuntu-System-Product-Name.796245.1 +3 -0
  5. runs/Jul07_23-13-09_ubuntu-System-Product-Name/events.out.tfevents.1720366472.ubuntu-System-Product-Name.796245.2 +3 -0
  6. special_tokens_map.json +7 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +55 -0
  9. training_args.bin +3 -0
  10. 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: distilbert/distilbert-base-cased
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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: distilbert-base-cased-airlines-news-multi-label-8-actions
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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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+ # distilbert-base-cased-airlines-news-multi-label-8-actions
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+
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+ This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2141
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+ - F1: 0.9107
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+ - Jaccard: 0.5749
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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: 0.0001
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+ - train_batch_size: 24
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+ - eval_batch_size: 24
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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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+ - lr_scheduler_warmup_steps: 150
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+ - num_epochs: 45
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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 | Jaccard |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | No log | 1.0 | 76 | 0.4054 | 0.8583 | 0.4115 |
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+ | No log | 2.0 | 152 | 0.2956 | 0.8583 | 0.4115 |
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+ | No log | 3.0 | 228 | 0.2885 | 0.8583 | 0.4115 |
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+ | No log | 4.0 | 304 | 0.2807 | 0.8583 | 0.4115 |
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+ | No log | 5.0 | 380 | 0.2735 | 0.8583 | 0.4115 |
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+ | No log | 6.0 | 456 | 0.2668 | 0.8583 | 0.4115 |
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+ | 0.3504 | 7.0 | 532 | 0.2608 | 0.8709 | 0.4159 |
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+ | 0.3504 | 8.0 | 608 | 0.2550 | 0.8822 | 0.4226 |
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+ | 0.3504 | 9.0 | 684 | 0.2501 | 0.8930 | 0.4403 |
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+ | 0.3504 | 10.0 | 760 | 0.2462 | 0.8941 | 0.4779 |
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+ | 0.3504 | 11.0 | 836 | 0.2424 | 0.8907 | 0.4712 |
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+ | 0.3504 | 12.0 | 912 | 0.2385 | 0.8899 | 0.4757 |
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+ | 0.3504 | 13.0 | 988 | 0.2360 | 0.8930 | 0.5144 |
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+ | 0.2673 | 14.0 | 1064 | 0.2335 | 0.8931 | 0.5081 |
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+ | 0.2673 | 15.0 | 1140 | 0.2321 | 0.8921 | 0.5081 |
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+ | 0.2673 | 16.0 | 1216 | 0.2292 | 0.8964 | 0.5380 |
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+ | 0.2673 | 17.0 | 1292 | 0.2269 | 0.8975 | 0.5291 |
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+ | 0.2673 | 18.0 | 1368 | 0.2256 | 0.8962 | 0.5461 |
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+ | 0.2673 | 19.0 | 1444 | 0.2240 | 0.8968 | 0.5439 |
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+ | 0.2471 | 20.0 | 1520 | 0.2237 | 0.8973 | 0.5454 |
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+ | 0.2471 | 21.0 | 1596 | 0.2224 | 0.8971 | 0.5350 |
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+ | 0.2471 | 22.0 | 1672 | 0.2213 | 0.8985 | 0.5313 |
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+ | 0.2471 | 23.0 | 1748 | 0.2191 | 0.8982 | 0.5549 |
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+ | 0.2471 | 24.0 | 1824 | 0.2186 | 0.9072 | 0.5542 |
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+ | 0.2471 | 25.0 | 1900 | 0.2182 | 0.8993 | 0.5542 |
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+ | 0.2471 | 26.0 | 1976 | 0.2168 | 0.9071 | 0.5608 |
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+ | 0.2374 | 27.0 | 2052 | 0.2162 | 0.9091 | 0.5608 |
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+ | 0.2374 | 28.0 | 2128 | 0.2154 | 0.8998 | 0.5601 |
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+ | 0.2374 | 29.0 | 2204 | 0.2146 | 0.9095 | 0.5608 |
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+ | 0.2374 | 30.0 | 2280 | 0.2141 | 0.9083 | 0.5608 |
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+ | 0.2374 | 31.0 | 2356 | 0.2141 | 0.9107 | 0.5749 |
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+ | 0.2374 | 32.0 | 2432 | 0.2136 | 0.9103 | 0.5704 |
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+ | 0.2325 | 33.0 | 2508 | 0.2140 | 0.9052 | 0.5542 |
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+ | 0.2325 | 34.0 | 2584 | 0.2125 | 0.9084 | 0.5608 |
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+ | 0.2325 | 35.0 | 2660 | 0.2118 | 0.9091 | 0.5623 |
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+ | 0.2325 | 36.0 | 2736 | 0.2118 | 0.9092 | 0.5667 |
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+ | 0.2325 | 37.0 | 2812 | 0.2115 | 0.9072 | 0.5608 |
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+ | 0.2325 | 38.0 | 2888 | 0.2118 | 0.9081 | 0.5667 |
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+ | 0.2325 | 39.0 | 2964 | 0.2110 | 0.9080 | 0.5623 |
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+ | 0.2293 | 40.0 | 3040 | 0.2111 | 0.9092 | 0.5667 |
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+ | 0.2293 | 41.0 | 3116 | 0.2110 | 0.9087 | 0.5667 |
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+ | 0.2293 | 42.0 | 3192 | 0.2109 | 0.9085 | 0.5623 |
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+ | 0.2293 | 43.0 | 3268 | 0.2108 | 0.9092 | 0.5667 |
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+ | 0.2293 | 44.0 | 3344 | 0.2107 | 0.9085 | 0.5623 |
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+ | 0.2293 | 45.0 | 3420 | 0.2107 | 0.9085 | 0.5623 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "capacity expansion",
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+ "1": "legal action",
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+ "2": "market expansion",
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+ "3": "marketing",
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+ "4": "merger & acquisition and finance investments",
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+ "5": "outsourcing and alliance",
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+ "6": "pricing",
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+ "7": "product introductions and improvements"
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+ "problem_type": "multi_label_classification",
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