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-NO-PRExlnet-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-NO-PRExlnet-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: 0.6311
+- F1: 0.7534
+- Roc Auc: 0.8047
+- Accuracy: 0.5018
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.6008        | 1.0   | 139  | 0.5907          | 0.0994 | 0.5061  | 0.1227   |
+| 0.5594        | 2.0   | 278  | 0.5834          | 0.1435 | 0.5     | 0.1300   |
+| 0.4458        | 3.0   | 417  | 0.3967          | 0.6474 | 0.7336  | 0.4007   |
+| 0.3153        | 4.0   | 556  | 0.3647          | 0.7128 | 0.7775  | 0.4495   |
+| 0.2474        | 5.0   | 695  | 0.3392          | 0.7382 | 0.7952  | 0.4693   |
+| 0.1915        | 6.0   | 834  | 0.3702          | 0.7346 | 0.7980  | 0.5054   |
+| 0.1194        | 7.0   | 973  | 0.4083          | 0.7340 | 0.7994  | 0.4982   |
+| 0.0953        | 8.0   | 1112 | 0.4656          | 0.7507 | 0.8101  | 0.4910   |
+| 0.0482        | 9.0   | 1251 | 0.5682          | 0.7438 | 0.7934  | 0.4838   |
+| 0.0504        | 10.0  | 1390 | 0.5374          | 0.7419 | 0.8069  | 0.4729   |
+| 0.0265        | 11.0  | 1529 | 0.6019          | 0.7408 | 0.8011  | 0.4838   |
+| 0.0082        | 12.0  | 1668 | 0.6136          | 0.7429 | 0.8015  | 0.4874   |
+| 0.0077        | 13.0  | 1807 | 0.6212          | 0.7461 | 0.8020  | 0.4982   |
+| 0.0117        | 14.0  | 1946 | 0.6089          | 0.7519 | 0.8086  | 0.4928   |
+| 0.0044        | 15.0  | 2085 | 0.6246          | 0.7508 | 0.8050  | 0.5      |
+| 0.0041        | 16.0  | 2224 | 0.6382          | 0.7460 | 0.8005  | 0.4946   |
+| 0.0024        | 17.0  | 2363 | 0.6333          | 0.7467 | 0.8011  | 0.5      |
+| 0.0053        | 18.0  | 2502 | 0.6311          | 0.7534 | 0.8047  | 0.5018   |
+| 0.0027        | 19.0  | 2641 | 0.6311          | 0.7508 | 0.8032  | 0.5036   |
+| 0.0029        | 20.0  | 2780 | 0.6318          | 0.7520 | 0.8037  | 0.5054   |
+
+
+### 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>"
+}

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tokenizer_config.json

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+      "special": true
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+  },
+  "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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