End of training

README.md

@@ -0,0 +1,100 @@
+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: distilbert-base-cased-airlines-news-multi-label
+  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. -->
+
+# distilbert-base-cased-airlines-news-multi-label
+
+This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3172
+- F1: 0.8338
+- Roc Auc: 0.5031
+
+## 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: 2.5e-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 72   | 0.4599          | 0.8169 | 0.5     |
+| No log        | 2.0   | 144  | 0.3754          | 0.8169 | 0.5     |
+| No log        | 3.0   | 216  | 0.3603          | 0.8169 | 0.5     |
+| No log        | 4.0   | 288  | 0.3564          | 0.8169 | 0.5     |
+| No log        | 5.0   | 360  | 0.3539          | 0.8169 | 0.5     |
+| No log        | 6.0   | 432  | 0.3517          | 0.8169 | 0.5     |
+| 0.391         | 7.0   | 504  | 0.3497          | 0.8169 | 0.5     |
+| 0.391         | 8.0   | 576  | 0.3475          | 0.8169 | 0.5     |
+| 0.391         | 9.0   | 648  | 0.3456          | 0.8169 | 0.5     |
+| 0.391         | 10.0  | 720  | 0.3435          | 0.8169 | 0.5     |
+| 0.391         | 11.0  | 792  | 0.3413          | 0.8169 | 0.5     |
+| 0.391         | 12.0  | 864  | 0.3394          | 0.8169 | 0.5     |
+| 0.391         | 13.0  | 936  | 0.3373          | 0.8169 | 0.5     |
+| 0.3372        | 14.0  | 1008 | 0.3354          | 0.8169 | 0.5     |
+| 0.3372        | 15.0  | 1080 | 0.3338          | 0.8169 | 0.5     |
+| 0.3372        | 16.0  | 1152 | 0.3322          | 0.8169 | 0.5     |
+| 0.3372        | 17.0  | 1224 | 0.3307          | 0.8169 | 0.5     |
+| 0.3372        | 18.0  | 1296 | 0.3288          | 0.8169 | 0.5     |
+| 0.3372        | 19.0  | 1368 | 0.3275          | 0.8169 | 0.5     |
+| 0.3372        | 20.0  | 1440 | 0.3261          | 0.8169 | 0.5     |
+| 0.3245        | 21.0  | 1512 | 0.3249          | 0.8169 | 0.5     |
+| 0.3245        | 22.0  | 1584 | 0.3235          | 0.8169 | 0.5     |
+| 0.3245        | 23.0  | 1656 | 0.3225          | 0.8169 | 0.5     |
+| 0.3245        | 24.0  | 1728 | 0.3214          | 0.8169 | 0.5     |
+| 0.3245        | 25.0  | 1800 | 0.3204          | 0.8169 | 0.5     |
+| 0.3245        | 26.0  | 1872 | 0.3195          | 0.8169 | 0.5     |
+| 0.3245        | 27.0  | 1944 | 0.3187          | 0.8169 | 0.5     |
+| 0.3152        | 28.0  | 2016 | 0.3179          | 0.8169 | 0.5     |
+| 0.3152        | 29.0  | 2088 | 0.3172          | 0.8338 | 0.5031  |
+| 0.3152        | 30.0  | 2160 | 0.3165          | 0.8338 | 0.5031  |
+| 0.3152        | 31.0  | 2232 | 0.3161          | 0.8338 | 0.5031  |
+| 0.3152        | 32.0  | 2304 | 0.3155          | 0.8338 | 0.5031  |
+| 0.3152        | 33.0  | 2376 | 0.3151          | 0.8338 | 0.5031  |
+| 0.3152        | 34.0  | 2448 | 0.3146          | 0.8338 | 0.5031  |
+| 0.3102        | 35.0  | 2520 | 0.3144          | 0.8338 | 0.5031  |
+| 0.3102        | 36.0  | 2592 | 0.3142          | 0.8338 | 0.5031  |
+| 0.3102        | 37.0  | 2664 | 0.3139          | 0.8338 | 0.5031  |
+| 0.3102        | 38.0  | 2736 | 0.3138          | 0.8338 | 0.5031  |
+| 0.3102        | 39.0  | 2808 | 0.3137          | 0.8338 | 0.5031  |
+| 0.3102        | 40.0  | 2880 | 0.3137          | 0.8338 | 0.5031  |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "distilbert/distilbert-base-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "capacity expansion",
+    "1": "legal action",
+    "2": "market expansion",
+    "3": "merger & acquisition and finance investments",
+    "4": "outsourcing and alliance",
+    "5": "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,
+    "product introductions and improvements": 5
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "problem_type": "multi_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
+  "vocab_size": 28996
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ffd72379174b5f64fcb5068d79f9b8f2cf078ac266e2301456dd4f7eaa1fa6e
+size 263156992

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,55 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:108d9af13dbf4172b06c98691e502a7c2c257d22222d2e922ea580f399542e36
+size 5176