End of training

README.md

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+---
+base_model: vinai/bartpho-word-base
+tags:
+- generated_from_trainer
+model-index:
+- name: bartpho-word-base-ed-multi
+  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. -->
+
+# bartpho-word-base-ed-multi
+
+This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0119
+- F1 Micro: 0.7432
+- Recall Micro: 0.6664
+- Precision Micro: 0.8399
+- F1 Macro: 0.1835
+- Recall Macro: 0.1759
+- Precision Macro: 0.1941
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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 | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
+| No log        | 1.0   | 373  | 0.0155          | 0.7319   | 0.6617       | 0.8189          | 0.1701   | 0.1761       | 0.1689          |
+| 0.0444        | 2.0   | 746  | 0.0124          | 0.7406   | 0.6612       | 0.8416          | 0.1673   | 0.1548       | 0.1917          |
+| 0.0132        | 3.0   | 1119 | 0.0124          | 0.7327   | 0.6526       | 0.8353          | 0.1799   | 0.1788       | 0.1882          |
+| 0.0132        | 4.0   | 1492 | 0.0121          | 0.7488   | 0.6870       | 0.8229          | 0.1763   | 0.1573       | 0.2042          |
+| 0.0103        | 5.0   | 1865 | 0.0119          | 0.7432   | 0.6664       | 0.8399          | 0.1835   | 0.1759       | 0.1941          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.2"
+}

model.safetensors

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