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-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-multi-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: 0.0236
+- F1 Micro: 0.7990
+- Recall Micro: 0.7985
+- Precision Micro: 0.7996
+- F1 Macro: 0.6436
+- Recall Macro: 0.6553
+- Precision Macro: 0.6605
+
+## 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        | 0.9987 | 393  | 0.0267          | 0.7802   | 0.7647       | 0.7963          | 0.5052   | 0.4675       | 0.6180          |
+| 0.1473        | 2.0    | 787  | 0.0268          | 0.7717   | 0.7827       | 0.7610          | 0.6187   | 0.6788       | 0.5931          |
+| 0.0245        | 2.9987 | 1180 | 0.0232          | 0.7970   | 0.7898       | 0.8044          | 0.5962   | 0.5898       | 0.6782          |
+| 0.0193        | 4.0    | 1574 | 0.0224          | 0.8015   | 0.7964       | 0.8066          | 0.6273   | 0.6125       | 0.6827          |
+| 0.0193        | 4.9936 | 1965 | 0.0236          | 0.7990   | 0.7985       | 0.7996          | 0.6436   | 0.6553       | 0.6605          |
+
+
+### 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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 size 600177236