End of training

README.md

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+---
+license: mit
+base_model: xlnet/xlnet-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: emotional-xlnet
+  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. -->
+
+# emotional-xlnet
+
+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: 2.9968
+- Accuracy: 0.3875
+- F1: 0.3676
+- Precision: 0.3990
+- Recall: 0.3875
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 2.4746        | 1.0   | 270  | 2.3530          | 0.3085   | 0.2878 | 0.4138    | 0.3085 |
+| 0.8581        | 2.0   | 540  | 2.1600          | 0.3466   | 0.3310 | 0.3603    | 0.3466 |
+| 0.2628        | 3.0   | 810  | 2.3594          | 0.3575   | 0.3519 | 0.4060    | 0.3575 |
+| 0.0791        | 4.0   | 1080 | 2.7493          | 0.3793   | 0.3643 | 0.3901    | 0.3793 |
+| 0.0292        | 5.0   | 1350 | 2.9968          | 0.3875   | 0.3676 | 0.3990    | 0.3875 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "serenity",
+    "1": "joy",
+    "10": "terror",
+    "11": "awe",
+    "12": "distraction",
+    "13": "surprise",
+    "14": "amazement",
+    "15": "disapproval",
+    "16": "pensiveness",
+    "17": "sadness",
+    "18": "grief",
+    "19": "remorse",
+    "2": "ecstasy",
+    "20": "boredom",
+    "21": "disgust",
+    "22": "loathing",
+    "23": "contempt",
+    "24": "annoyance",
+    "25": "anger",
+    "26": "rage",
+    "27": "aggressiveness",
+    "28": "interest",
+    "29": "anticipation",
+    "3": "love",
+    "30": "vigilance",
+    "31": "optimism",
+    "4": "acceptance",
+    "5": "trust",
+    "6": "admiration",
+    "7": "submission",
+    "8": "apprehension",
+    "9": "fear"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "acceptance": 4,
+    "admiration": 6,
+    "aggressiveness": 27,
+    "amazement": 14,
+    "anger": 25,
+    "annoyance": 24,
+    "anticipation": 29,
+    "apprehension": 8,
+    "awe": 11,
+    "boredom": 20,
+    "contempt": 23,
+    "disapproval": 15,
+    "disgust": 21,
+    "distraction": 12,
+    "ecstasy": 2,
+    "fear": 9,
+    "grief": 18,
+    "interest": 28,
+    "joy": 1,
+    "loathing": 22,
+    "love": 3,
+    "optimism": 31,
+    "pensiveness": 16,
+    "rage": 26,
+    "remorse": 19,
+    "sadness": 17,
+    "serenity": 0,
+    "submission": 7,
+    "surprise": 13,
+    "terror": 10,
+    "trust": 5,
+    "vigilance": 30
+  },
+  "layer_norm_eps": 1e-12,
+  "mem_len": null,
+  "model_type": "xlnet",
+  "n_head": 12,
+  "n_layer": 12,
+  "pad_token_id": 5,
+  "problem_type": "single_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": "4.39.3",
+  "untie_r": true,
+  "use_mems_eval": true,
+  "use_mems_train": false,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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tokenizer_config.json

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