End of training

README.md

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+---
+license: apache-2.0
+base_model: HooshvareLab/bert-fa-base-uncased-clf-digimag
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+model-index:
+- name: uncased-clf-digimag_v2
+  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. -->
+
+# uncased-clf-digimag_v2
+
+This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased-clf-digimag](https://huggingface.co/HooshvareLab/bert-fa-base-uncased-clf-digimag) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2940
+- Accuracy: 0.6481
+- F1: 0.6482
+- Precision: 0.6531
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
+| No log        | 1.0   | 221  | 1.1060          | 0.5199   | 0.4953 | 0.5440    |
+| No log        | 2.0   | 442  | 0.9657          | 0.6220   | 0.6234 | 0.6304    |
+| 1.0805        | 3.0   | 663  | 0.9398          | 0.6583   | 0.6591 | 0.6626    |
+| 1.0805        | 4.0   | 884  | 0.9883          | 0.6504   | 0.6511 | 0.6710    |
+| 0.6186        | 5.0   | 1105 | 1.0283          | 0.6459   | 0.6456 | 0.6506    |
+| 0.6186        | 6.0   | 1326 | 1.1060          | 0.6527   | 0.6503 | 0.6602    |
+| 0.3377        | 7.0   | 1547 | 1.1505          | 0.6652   | 0.6642 | 0.6786    |
+| 0.3377        | 8.0   | 1768 | 1.2264          | 0.6583   | 0.6569 | 0.6614    |
+| 0.3377        | 9.0   | 1989 | 1.2719          | 0.6447   | 0.6448 | 0.6480    |
+| 0.1804        | 10.0  | 2210 | 1.2940          | 0.6481   | 0.6482 | 0.6531    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "HooshvareLab/bert-fa-base-uncased-clf-digimag",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "digimag",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "b2c",
+    "1": "adsl/sales",
+    "2": "b2b/res",
+    "3": "b2b/ent"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "adsl/sales": 1,
+    "b2b/ent": 3,
+    "b2b/res": 2,
+    "b2c": 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,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 100000
+}

model.safetensors

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runs/Mar12_10-01-47_acf603e5ea18/events.out.tfevents.1710237707.acf603e5ea18.304.2

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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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+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "full_tokenizer_file": null,
+  "mask_token": "[MASK]",
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+  "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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