End of training

README.md

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+---
+license: apache-2.0
+base_model: HooshvareLab/roberta-fa-zwnj-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+model-index:
+- name: roberta-fa-zwnj-base_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. -->
+
+# roberta-fa-zwnj-base_v2
+
+This model is a fine-tuned version of [HooshvareLab/roberta-fa-zwnj-base](https://huggingface.co/HooshvareLab/roberta-fa-zwnj-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3459
+- Accuracy: 0.6322
+- F1: 0.6314
+- Precision: 0.6344
+
+## 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  | 1.1727          | 0.5051   | 0.4774 | 0.5339    |
+| No log        | 2.0   | 442  | 0.9745          | 0.5993   | 0.5974 | 0.6020    |
+| 1.0847        | 3.0   | 663  | 0.9534          | 0.6390   | 0.6364 | 0.6376    |
+| 1.0847        | 4.0   | 884  | 0.9851          | 0.6504   | 0.6494 | 0.6559    |
+| 0.6653        | 5.0   | 1105 | 1.0650          | 0.6300   | 0.6302 | 0.6337    |
+| 0.6653        | 6.0   | 1326 | 1.1519          | 0.6413   | 0.6401 | 0.6450    |
+| 0.4049        | 7.0   | 1547 | 1.2131          | 0.6356   | 0.6358 | 0.6362    |
+| 0.4049        | 8.0   | 1768 | 1.2801          | 0.6356   | 0.6355 | 0.6360    |
+| 0.4049        | 9.0   | 1989 | 1.3335          | 0.6322   | 0.6306 | 0.6320    |
+| 0.2507        | 10.0  | 2210 | 1.3459          | 0.6322   | 0.6314 | 0.6344    |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "HooshvareLab/roberta-fa-zwnj-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "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": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 42000
+}

model.safetensors

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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