Training completed!

README.md

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+---
+library_name: transformers
+license: mit
+base_model: xlnet/xlnet-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: UIT-NO-PRExlnet-base-cased-finetuned
+  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. -->
+
+# UIT-NO-PRExlnet-base-cased-finetuned
+
+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: 0.6397
+- F1: 0.7187
+- Roc Auc: 0.7856
+- Accuracy: 0.4531
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.5578        | 1.0   | 139  | 0.5043          | 0.3149 | 0.5892  | 0.2022   |
+| 0.4414        | 2.0   | 278  | 0.4142          | 0.6034 | 0.7089  | 0.3827   |
+| 0.3813        | 3.0   | 417  | 0.3941          | 0.6657 | 0.7419  | 0.4061   |
+| 0.2291        | 4.0   | 556  | 0.4109          | 0.6806 | 0.7463  | 0.4260   |
+| 0.23          | 5.0   | 695  | 0.4438          | 0.6914 | 0.7605  | 0.4386   |
+| 0.15          | 6.0   | 834  | 0.4506          | 0.7001 | 0.7664  | 0.4513   |
+| 0.1324        | 7.0   | 973  | 0.4842          | 0.6910 | 0.7646  | 0.4603   |
+| 0.0803        | 8.0   | 1112 | 0.5092          | 0.7164 | 0.7915  | 0.4513   |
+| 0.0772        | 9.0   | 1251 | 0.5448          | 0.7000 | 0.7734  | 0.4404   |
+| 0.0459        | 10.0  | 1390 | 0.5791          | 0.6958 | 0.7693  | 0.4332   |
+| 0.0308        | 11.0  | 1529 | 0.5954          | 0.7102 | 0.7836  | 0.4386   |
+| 0.0343        | 12.0  | 1668 | 0.6288          | 0.7030 | 0.7780  | 0.4350   |
+| 0.0254        | 13.0  | 1807 | 0.6397          | 0.7187 | 0.7856  | 0.4531   |
+| 0.0269        | 14.0  | 1946 | 0.6693          | 0.6932 | 0.7705  | 0.4368   |
+| 0.0144        | 15.0  | 2085 | 0.6778          | 0.6949 | 0.7711  | 0.4386   |
+| 0.0104        | 16.0  | 2224 | 0.7106          | 0.6943 | 0.7684  | 0.4368   |
+| 0.006         | 17.0  | 2363 | 0.7217          | 0.7053 | 0.7749  | 0.4422   |
+| 0.0109        | 18.0  | 2502 | 0.7313          | 0.7124 | 0.7826  | 0.4368   |
+| 0.0063        | 19.0  | 2641 | 0.7416          | 0.7116 | 0.7796  | 0.4314   |
+| 0.0043        | 20.0  | 2780 | 0.7470          | 0.7124 | 0.7795  | 0.4332   |
+| 0.0031        | 21.0  | 2919 | 0.7647          | 0.7012 | 0.7710  | 0.4296   |
+| 0.0041        | 22.0  | 3058 | 0.7516          | 0.7019 | 0.7722  | 0.4350   |
+| 0.0028        | 23.0  | 3197 | 0.7591          | 0.7035 | 0.7721  | 0.4386   |
+| 0.0027        | 24.0  | 3336 | 0.7587          | 0.7052 | 0.7748  | 0.4386   |
+| 0.0028        | 25.0  | 3475 | 0.7644          | 0.7099 | 0.7770  | 0.4422   |
+| 0.0027        | 26.0  | 3614 | 0.7656          | 0.7081 | 0.7758  | 0.4422   |
+| 0.0033        | 27.0  | 3753 | 0.7629          | 0.7097 | 0.7764  | 0.4477   |
+| 0.0026        | 28.0  | 3892 | 0.7622          | 0.7082 | 0.7758  | 0.4458   |
+| 0.0025        | 29.0  | 4031 | 0.7626          | 0.7082 | 0.7758  | 0.4458   |
+| 0.0023        | 30.0  | 4170 | 0.7627          | 0.7082 | 0.7758  | 0.4458   |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.21.0

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": "anger",
+    "1": "fear",
+    "2": "joy",
+    "3": "sadness",
+    "4": "surprise"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "anger": 0,
+    "fear": 1,
+    "joy": 2,
+    "sadness": 3,
+    "surprise": 4
+  },
+  "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": "4.48.1",
+  "untie_r": true,
+  "use_mems_eval": true,
+  "use_mems_train": false,
+  "vocab_size": 32000
+}

model.safetensors

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<eop>",
+    "<eod>"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<cls>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "<sep>",
+  "unk_token": "<unk>"
+}

spiece.model

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tokenizer_config.json

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+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
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+      "normalized": false,
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+      "special": true
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+      "special": true
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<eop>",
+    "<eod>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<cls>",
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "keep_accents": false,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "<sep>",
+  "tokenizer_class": "XLNetTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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