End of training

README.md

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+---
+license: apache-2.0
+base_model: HooshvareLab/bert-fa-base-uncased-clf-persiannews
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: war_intent_detection_fa
+  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. -->
+
+# war_intent_detection_fa
+
+This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased-clf-persiannews](https://huggingface.co/HooshvareLab/bert-fa-base-uncased-clf-persiannews) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2065
+- Accuracy: 0.9187
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6873        | 1.0   | 805  | 0.2907          | 0.8987   |
+| 0.2264        | 2.0   | 1610 | 0.2378          | 0.9128   |
+| 0.2008        | 3.0   | 2415 | 0.2199          | 0.9176   |
+| 0.1654        | 4.0   | 3220 | 0.2141          | 0.9152   |
+| 0.145         | 5.0   | 4025 | 0.2065          | 0.9187   |
+
+
+### Framework versions
+
+- Transformers 4.43.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "HooshvareLab/bert-fa-base-uncased-clf-persiannews",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "persiannews",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Supply",
+    "1": "Attack",
+    "2": "Retreat",
+    "3": "Communication",
+    "4": "Support",
+    "5": "Special",
+    "6": "Move",
+    "7": "Defend",
+    "8": "Reconnaissance",
+    "9": "Reinforce"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Attack": 1,
+    "Communication": 3,
+    "Defend": 7,
+    "Move": 6,
+    "Reconnaissance": 8,
+    "Reinforce": 9,
+    "Retreat": 2,
+    "Special": 5,
+    "Supply": 0,
+    "Support": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 100000
+}

model.safetensors

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runs/Jul23_19-43-09_74dac0f64922/events.out.tfevents.1721763796.74dac0f64922.330.0

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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": {
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "full_tokenizer_file": null,
+  "mask_token": "[MASK]",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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