End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: MBERTbase_REDv2
+  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. -->
+
+# MBERTbase_REDv2
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3320
+- F1: 0.5326
+- Roc Auc: 0.7058
+- Accuracy: 0.4383
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 64   | 0.4206          | 0.0    | 0.5     | 0.0      |
+| No log        | 2.0   | 128  | 0.3876          | 0.0901 | 0.5328  | 0.0589   |
+| No log        | 3.0   | 192  | 0.3599          | 0.2983 | 0.5993  | 0.2081   |
+| No log        | 4.0   | 256  | 0.3434          | 0.3808 | 0.6365  | 0.2965   |
+| No log        | 5.0   | 320  | 0.3360          | 0.4182 | 0.6474  | 0.3204   |
+| No log        | 6.0   | 384  | 0.3267          | 0.4638 | 0.6703  | 0.3646   |
+| No log        | 7.0   | 448  | 0.3259          | 0.5033 | 0.6945  | 0.3959   |
+| 0.3376        | 8.0   | 512  | 0.3226          | 0.5140 | 0.6978  | 0.4217   |
+| 0.3376        | 9.0   | 576  | 0.3248          | 0.5099 | 0.6959  | 0.4199   |
+| 0.3376        | 10.0  | 640  | 0.3252          | 0.5230 | 0.6988  | 0.4162   |
+| 0.3376        | 11.0  | 704  | 0.3258          | 0.5211 | 0.7027  | 0.4217   |
+| 0.3376        | 12.0  | 768  | 0.3308          | 0.5214 | 0.6998  | 0.4309   |
+| 0.3376        | 13.0  | 832  | 0.3304          | 0.5305 | 0.7052  | 0.4383   |
+| 0.3376        | 14.0  | 896  | 0.3318          | 0.5297 | 0.7054  | 0.4309   |
+| 0.3376        | 15.0  | 960  | 0.3320          | 0.5326 | 0.7058  | 0.4383   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-multilingual-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": 0.1,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Tristete",
+    "1": "Surpriza",
+    "2": "Frica",
+    "3": "Furie",
+    "4": "Neutru",
+    "5": "Incredere",
+    "6": "Bucurie"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Bucurie": 6,
+    "Frica": 2,
+    "Furie": 3,
+    "Incredere": 5,
+    "Neutru": 4,
+    "Surpriza": 1,
+    "Tristete": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fd3eeaf45f4101d97d014664aaebe7ea2aa8b2ac04ceb21016ba71c27e1586bf
+size 711458836

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 5176