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_v1
+  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_v1
+
+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: 1.2679
+- Accuracy: 0.6413
+- F1: 0.6418
+- Precision: 0.6458
+
+## 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  | 1.1415          | 0.4972   | 0.4716 | 0.5696    |
+| No log        | 2.0   | 442  | 0.9770          | 0.6016   | 0.6029 | 0.6063    |
+| 1.0648        | 3.0   | 663  | 0.9529          | 0.6266   | 0.6271 | 0.6304    |
+| 1.0648        | 4.0   | 884  | 0.9879          | 0.6470   | 0.6468 | 0.6636    |
+| 0.6031        | 5.0   | 1105 | 1.0113          | 0.6311   | 0.6321 | 0.6345    |
+| 0.6031        | 6.0   | 1326 | 1.0840          | 0.6356   | 0.6322 | 0.6363    |
+| 0.329         | 7.0   | 1547 | 1.1273          | 0.6436   | 0.6438 | 0.6487    |
+| 0.329         | 8.0   | 1768 | 1.2089          | 0.6300   | 0.6285 | 0.6291    |
+| 0.329         | 9.0   | 1989 | 1.2486          | 0.6345   | 0.6352 | 0.6399    |
+| 0.1809        | 10.0  | 2210 | 1.2679          | 0.6413   | 0.6418 | 0.6458    |
+
+
+### 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_08-48-41_acf603e5ea18/events.out.tfevents.1710233322.acf603e5ea18.304.0

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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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+  "do_lower_case": true,
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+  "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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