End of training

README.md

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+---
+license: mit
+base_model: xlnet/xlnet-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: xlnet-base-cased-airlines-news-multi-label-7-actions
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# xlnet-base-cased-airlines-news-multi-label-7-actions
+
+This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2151
+- F1: 0.9188
+- Jaccard: 0.6316
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 150
+- num_epochs: 45
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Jaccard |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 57   | 0.4002          | 0.8330 | 0.4071  |
+| No log        | 2.0   | 114  | 0.3221          | 0.8443 | 0.4115  |
+| No log        | 3.0   | 171  | 0.2836          | 0.8703 | 0.4565  |
+| No log        | 4.0   | 228  | 0.2654          | 0.8731 | 0.4786  |
+| No log        | 5.0   | 285  | 0.2478          | 0.8825 | 0.5288  |
+| No log        | 6.0   | 342  | 0.2410          | 0.8925 | 0.5395  |
+| No log        | 7.0   | 399  | 0.2337          | 0.8990 | 0.5830  |
+| No log        | 8.0   | 456  | 0.2313          | 0.8997 | 0.5586  |
+| 0.3113        | 9.0   | 513  | 0.2287          | 0.8974 | 0.5579  |
+| 0.3113        | 10.0  | 570  | 0.2242          | 0.9037 | 0.6080  |
+| 0.3113        | 11.0  | 627  | 0.2215          | 0.9036 | 0.5911  |
+| 0.3113        | 12.0  | 684  | 0.2209          | 0.9072 | 0.5977  |
+| 0.3113        | 13.0  | 741  | 0.2192          | 0.9093 | 0.6169  |
+| 0.3113        | 14.0  | 798  | 0.2193          | 0.9076 | 0.6125  |
+| 0.3113        | 15.0  | 855  | 0.2206          | 0.9067 | 0.6257  |
+| 0.3113        | 16.0  | 912  | 0.2166          | 0.9121 | 0.6265  |
+| 0.3113        | 17.0  | 969  | 0.2151          | 0.9188 | 0.6316  |
+| 0.2282        | 18.0  | 1026 | 0.2143          | 0.9107 | 0.6279  |
+| 0.2282        | 19.0  | 1083 | 0.2132          | 0.9105 | 0.6346  |
+| 0.2282        | 20.0  | 1140 | 0.2132          | 0.9106 | 0.6279  |
+| 0.2282        | 21.0  | 1197 | 0.2174          | 0.9122 | 0.6243  |
+| 0.2282        | 22.0  | 1254 | 0.2161          | 0.9139 | 0.6221  |
+| 0.2282        | 23.0  | 1311 | 0.2127          | 0.9119 | 0.6287  |
+| 0.2282        | 24.0  | 1368 | 0.2129          | 0.9119 | 0.6353  |
+| 0.2282        | 25.0  | 1425 | 0.2112          | 0.9147 | 0.6324  |
+| 0.2282        | 26.0  | 1482 | 0.2122          | 0.9129 | 0.6386  |
+| 0.2142        | 27.0  | 1539 | 0.2126          | 0.9146 | 0.6272  |
+| 0.2142        | 28.0  | 1596 | 0.2114          | 0.9144 | 0.6331  |
+| 0.2142        | 29.0  | 1653 | 0.2109          | 0.9159 | 0.6434  |
+| 0.2142        | 30.0  | 1710 | 0.2102          | 0.9165 | 0.6479  |
+| 0.2142        | 31.0  | 1767 | 0.2120          | 0.9114 | 0.6397  |
+| 0.2142        | 32.0  | 1824 | 0.2110          | 0.9125 | 0.6405  |
+| 0.2142        | 33.0  | 1881 | 0.2111          | 0.9093 | 0.625   |
+| 0.2142        | 34.0  | 1938 | 0.2110          | 0.9109 | 0.6243  |
+| 0.2142        | 35.0  | 1995 | 0.2111          | 0.9110 | 0.6324  |
+| 0.2084        | 36.0  | 2052 | 0.2127          | 0.9141 | 0.6394  |
+| 0.2084        | 37.0  | 2109 | 0.2112          | 0.9098 | 0.6265  |
+| 0.2084        | 38.0  | 2166 | 0.2109          | 0.9112 | 0.6309  |
+| 0.2084        | 39.0  | 2223 | 0.2109          | 0.9137 | 0.6405  |
+| 0.2084        | 40.0  | 2280 | 0.2111          | 0.9122 | 0.6346  |
+| 0.2084        | 41.0  | 2337 | 0.2111          | 0.9111 | 0.6368  |
+| 0.2084        | 42.0  | 2394 | 0.2113          | 0.9099 | 0.6279  |
+| 0.2084        | 43.0  | 2451 | 0.2112          | 0.9105 | 0.6324  |
+| 0.2054        | 44.0  | 2508 | 0.2111          | 0.9105 | 0.6287  |
+| 0.2054        | 45.0  | 2565 | 0.2110          | 0.9089 | 0.6221  |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "xlnet/xlnet-base-cased",
+  "architectures": [
+    "XLNetForSequenceClassification"
+  ],
+  "attn_type": "bi",
+  "bi_data": false,
+  "bos_token_id": 1,
+  "clamp_len": -1,
+  "d_head": 64,
+  "d_inner": 3072,
+  "d_model": 768,
+  "dropout": 0.1,
+  "end_n_top": 5,
+  "eos_token_id": 2,
+  "ff_activation": "gelu",
+  "id2label": {
+    "0": "capacity expansion",
+    "1": "legal action",
+    "2": "market expansion",
+    "3": "merger & acquisition and finance investments",
+    "4": "outsourcing and alliance",
+    "5": "pricing",
+    "6": "product introductions and improvements"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "capacity expansion": 0,
+    "legal action": 1,
+    "market expansion": 2,
+    "merger & acquisition and finance investments": 3,
+    "outsourcing and alliance": 4,
+    "pricing": 5,
+    "product introductions and improvements": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "mem_len": null,
+  "model_type": "xlnet",
+  "n_head": 12,
+  "n_layer": 12,
+  "pad_token_id": 5,
+  "problem_type": "multi_label_classification",
+  "reuse_len": null,
+  "same_length": false,
+  "start_n_top": 5,
+  "summary_activation": "tanh",
+  "summary_last_dropout": 0.1,
+  "summary_type": "last",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 250
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
+  "untie_r": true,
+  "use_mems_eval": true,
+  "use_mems_train": false,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
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+  "cls_token": "<cls>",
+  "eos_token": "</s>",
+  "mask_token": {
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+    "single_word": false
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+  "pad_token": "<pad>",
+  "sep_token": "<sep>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+}

training_args.bin

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