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bert-base-cased-airlines-news-multi-label

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  1. README.md +163 -0
  2. config.json +47 -0
  3. model.safetensors +3 -0
  4. runs/Jun20_13-54-12_ubuntu-System-Product-Name/events.out.tfevents.1718862853.ubuntu-System-Product-Name.1565371.1 +3 -0
  5. runs/Jun20_13-54-12_ubuntu-System-Product-Name/events.out.tfevents.1718869631.ubuntu-System-Product-Name.1565371.2 +3 -0
  6. runs/Jun20_15-48-56_ubuntu-System-Product-Name/events.out.tfevents.1718869737.ubuntu-System-Product-Name.1669351.0 +3 -0
  7. runs/Jun20_15-52-09_ubuntu-System-Product-Name/events.out.tfevents.1718869933.ubuntu-System-Product-Name.1669351.1 +3 -0
  8. runs/Jun20_22-26-45_ubuntu-System-Product-Name/events.out.tfevents.1718893606.ubuntu-System-Product-Name.1682743.0 +3 -0
  9. runs/Jun21_16-55-08_ubuntu-System-Product-Name/events.out.tfevents.1718960109.ubuntu-System-Product-Name.1682743.1 +3 -0
  10. runs/Jun21_18-07-53_ubuntu-System-Product-Name/events.out.tfevents.1718964473.ubuntu-System-Product-Name.1733416.0 +3 -0
  11. runs/Jun21_18-07-53_ubuntu-System-Product-Name/events.out.tfevents.1718966755.ubuntu-System-Product-Name.1733416.1 +3 -0
  12. runs/Jun24_17-43-17_ubuntu-System-Product-Name/events.out.tfevents.1719222209.ubuntu-System-Product-Name.1856559.0 +3 -0
  13. runs/Jun24_18-18-58_ubuntu-System-Product-Name/events.out.tfevents.1719224350.ubuntu-System-Product-Name.1866513.0 +3 -0
  14. special_tokens_map.json +7 -0
  15. tokenizer.json +0 -0
  16. tokenizer_config.json +55 -0
  17. training_args.bin +3 -0
  18. 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-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: bert-base-cased-airlines-news-multi-label
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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-cased-airlines-news-multi-label
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+
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+ This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3009
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+ - F1: 0.8533
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+ - Jaccard: 0.4071
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+ - Precisions: 0.8126
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+ - Recalls: 0.8999
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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: 8e-05
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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: 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 | F1 | Jaccard | Precisions | Recalls |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:----------:|:-------:|
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+ | No log | 1.0 | 76 | 0.5236 | 0.7888 | 0.1283 | 0.8216 | 0.7804 |
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+ | No log | 2.0 | 152 | 0.3180 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | No log | 3.0 | 228 | 0.3117 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | No log | 4.0 | 304 | 0.3106 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | No log | 5.0 | 380 | 0.3110 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | No log | 6.0 | 456 | 0.3095 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3902 | 7.0 | 532 | 0.3096 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3902 | 8.0 | 608 | 0.3089 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3902 | 9.0 | 684 | 0.3094 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3902 | 10.0 | 760 | 0.3092 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3902 | 11.0 | 836 | 0.3088 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3902 | 12.0 | 912 | 0.3082 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3902 | 13.0 | 988 | 0.3086 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3182 | 14.0 | 1064 | 0.3089 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3182 | 15.0 | 1140 | 0.3088 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3182 | 16.0 | 1216 | 0.3081 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3182 | 17.0 | 1292 | 0.3076 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3182 | 18.0 | 1368 | 0.3079 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3182 | 19.0 | 1444 | 0.3066 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3157 | 20.0 | 1520 | 0.3081 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3157 | 24.0 | 1824 | 0.3074 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3157 | 25.0 | 1900 | 0.3061 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3157 | 26.0 | 1976 | 0.3060 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3139 | 27.0 | 2052 | 0.3060 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3139 | 28.0 | 2128 | 0.3059 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3139 | 29.0 | 2204 | 0.3057 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.3139 | 30.0 | 2280 | 0.3054 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.313 | 33.0 | 2508 | 0.3055 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+ | 0.313 | 35.0 | 2660 | 0.3051 | 0.8533 | 0.4071 | 0.8126 | 0.8999 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-cased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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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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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "capacity expansion": 0,
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+ "legal action": 1,
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+ "market expansion": 2,
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+ "marketing": 3,
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+ "merger & acquisition and finance investments": 4,
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+ "outsourcing and alliance": 5,
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+ "pricing": 6,
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+ "product introductions and improvements": 7
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
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