End of training

README.md

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+---
+base_model: microsoft/mpnet-base
+tags:
+- generated_from_trainer
+model-index:
+- name: mpnet-base-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. -->
+
+# mpnet-base-airlines-news-multi-label
+
+This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2754
+- eval_f1: 0.6334
+- eval_roc_auc: 0.7772
+- eval_accuracy: 0.5938
+- eval_runtime: 122.2791
+- eval_samples_per_second: 1.832
+- eval_steps_per_second: 0.229
+- epoch: 16.56
+- step: 3726
+
+## 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: 9e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/mpnet-base",
+  "architectures": [
+    "MPNetForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "capacity expansion",
+    "1": "market expansion",
+    "2": "marketing",
+    "3": "merger & acquisition and finance investments",
+    "4": "outsourcing and alliance",
+    "5": "product introductions and improvements"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "capacity expansion": 0,
+    "market expansion": 1,
+    "marketing": 2,
+    "merger & acquisition and finance investments": 3,
+    "outsourcing and alliance": 4,
+    "product introductions and improvements": 5
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "problem_type": "multi_label_classification",
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0",
+  "vocab_size": 30527
+}

model.safetensors

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runs/May27_02-22-24_446b3055ce60/events.out.tfevents.1716776546.446b3055ce60.10649.0

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special_tokens_map.json

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+{
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+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
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+  "mask_token": {
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+    "rstrip": false,
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+    "single_word": false
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+  "sep_token": {
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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": false,
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+    "30526": {
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+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "do_lower_case": true,
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "MPNetTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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