Training in progress, epoch 1

README.md

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+---
+license: cc-by-sa-4.0
+base_model: aiknowyou/it-emotion-analyzer
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: it-emotion-analyzer_finetuned_pro_multilbel_emit
+  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. -->
+
+# it-emotion-analyzer_finetuned_pro_multilbel_emit
+
+This model is a fine-tuned version of [aiknowyou/it-emotion-analyzer](https://huggingface.co/aiknowyou/it-emotion-analyzer) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3116
+- F1: 0.5269
+- Roc Auc: 0.7253
+- Accuracy: 0.3643
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.2723        | 1.0   | 1037  | 0.2654          | 0.3992 | 0.6370  | 0.2801   |
+| 0.2241        | 2.0   | 2074  | 0.2465          | 0.4387 | 0.6603  | 0.2973   |
+| 0.1774        | 3.0   | 3111  | 0.2547          | 0.5066 | 0.7051  | 0.3608   |
+| 0.1435        | 4.0   | 4148  | 0.2627          | 0.4834 | 0.6933  | 0.3333   |
+| 0.1111        | 5.0   | 5185  | 0.2850          | 0.4992 | 0.7052  | 0.3540   |
+| 0.0873        | 6.0   | 6222  | 0.3010          | 0.5112 | 0.7177  | 0.3505   |
+| 0.0699        | 7.0   | 7259  | 0.3116          | 0.5269 | 0.7253  | 0.3643   |
+| 0.054         | 8.0   | 8296  | 0.3288          | 0.5223 | 0.7246  | 0.3625   |
+| 0.05          | 9.0   | 9333  | 0.3405          | 0.5149 | 0.7223  | 0.3608   |
+| 0.0416        | 10.0  | 10370 | 0.3437          | 0.5196 | 0.7268  | 0.3591   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "aiknowyou/it-emotion-analyzer",
+  "_num_labels": 6,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Amore",
+    "1": "Anticipazione",
+    "2": "Disgusto",
+    "3": "Fiducia",
+    "4": "Gioia",
+    "5": "Paura",
+    "6": "Rabbia",
+    "7": "Sorpresa",
+    "8": "Tristezza",
+    "9": "Neutro"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Amore": 0,
+    "Anticipazione": 1,
+    "Disgusto": 2,
+    "Fiducia": 3,
+    "Gioia": 4,
+    "Neutro": 9,
+    "Paura": 5,
+    "Rabbia": 6,
+    "Sorpresa": 7,
+    "Tristezza": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 96,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31102
+}

model.safetensors

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special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
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+    "rstrip": 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,
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+      "special": true
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+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "max_length": 96,
+  "model_max_length": 512,
+  "never_split": null,
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+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

training_args.bin

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