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-with-tpl-ed-tpl-v3
+  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-with-tpl-ed-tpl-v3
+
+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: 0.0267
+- F1 Micro: 0.8050
+- Recall Micro: 0.8024
+- Precision Micro: 0.8075
+
+## 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: 8
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|
+| No log        | 0.9987 | 393  | 0.0270          | 0.7861   | 0.7727       | 0.8000          |
+| 0.0654        | 2.0    | 787  | 0.0262          | 0.7755   | 0.7798       | 0.7713          |
+| 0.0247        | 2.9987 | 1180 | 0.0246          | 0.7892   | 0.7816       | 0.7969          |
+| 0.0197        | 4.0    | 1574 | 0.0233          | 0.8078   | 0.7949       | 0.8210          |
+| 0.0197        | 4.9987 | 1967 | 0.0235          | 0.8064   | 0.8018       | 0.8110          |
+| 0.016         | 6.0    | 2361 | 0.0262          | 0.8027   | 0.7951       | 0.8104          |
+| 0.0123        | 6.9987 | 2754 | 0.0261          | 0.8080   | 0.8067       | 0.8093          |
+| 0.0102        | 7.9898 | 3144 | 0.0267          | 0.8050   | 0.8024       | 0.8075          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "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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