Training completed!

README.md

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+---
+library_name: transformers
+license: mit
+base_model: xlnet/xlnet-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: UIT-xlnet-large-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-xlnet-large-cased-finetuned
+
+This model is a fine-tuned version of [xlnet/xlnet-large-cased](https://huggingface.co/xlnet/xlnet-large-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7374
+- F1: 0.7190
+- Roc Auc: 0.7861
+- Accuracy: 0.4368
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.6144        | 1.0   | 139  | 0.5899          | 0.0858 | 0.5045  | 0.1245   |
+| 0.55          | 2.0   | 278  | 0.5547          | 0.2409 | 0.5430  | 0.1625   |
+| 0.5049        | 3.0   | 417  | 0.4514          | 0.5298 | 0.6834  | 0.3574   |
+| 0.4           | 4.0   | 556  | 0.4586          | 0.5030 | 0.6732  | 0.3538   |
+| 0.3206        | 5.0   | 695  | 0.4345          | 0.6371 | 0.7279  | 0.3827   |
+| 0.2969        | 6.0   | 834  | 0.4264          | 0.6807 | 0.7627  | 0.4170   |
+| 0.2036        | 7.0   | 973  | 0.4564          | 0.6871 | 0.7633  | 0.4495   |
+| 0.1986        | 8.0   | 1112 | 0.4918          | 0.6930 | 0.7632  | 0.4170   |
+| 0.1437        | 9.0   | 1251 | 0.5499          | 0.7021 | 0.7861  | 0.3953   |
+| 0.1066        | 10.0  | 1390 | 0.5774          | 0.7028 | 0.7725  | 0.4224   |
+| 0.0674        | 11.0  | 1529 | 0.6038          | 0.7145 | 0.7824  | 0.4585   |
+| 0.038         | 12.0  | 1668 | 0.6528          | 0.7020 | 0.7797  | 0.4458   |
+| 0.0341        | 13.0  | 1807 | 0.6681          | 0.7092 | 0.7781  | 0.4477   |
+| 0.0308        | 14.0  | 1946 | 0.6986          | 0.7085 | 0.7796  | 0.4260   |
+| 0.0109        | 15.0  | 2085 | 0.7297          | 0.7087 | 0.7796  | 0.4332   |
+| 0.0224        | 16.0  | 2224 | 0.7307          | 0.7156 | 0.7838  | 0.4440   |
+| 0.0097        | 17.0  | 2363 | 0.7358          | 0.7155 | 0.7816  | 0.4440   |
+| 0.0103        | 18.0  | 2502 | 0.7374          | 0.7190 | 0.7861  | 0.4368   |
+| 0.0116        | 19.0  | 2641 | 0.7381          | 0.7150 | 0.7829  | 0.4368   |
+| 0.0077        | 20.0  | 2780 | 0.7383          | 0.7130 | 0.7817  | 0.4350   |
+
+
+### 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-large-cased",
+  "architectures": [
+    "XLNetForSequenceClassification"
+  ],
+  "attn_type": "bi",
+  "bi_data": false,
+  "bos_token_id": 1,
+  "clamp_len": -1,
+  "d_head": 64,
+  "d_inner": 4096,
+  "d_model": 1024,
+  "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": 16,
+  "n_layer": 24,
+  "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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+  "additional_special_tokens": [
+    "<eop>",
+    "<eod>"
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+  "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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