End of training

README.md

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+---
+base_model: airesearch/wangchanberta-base-att-spm-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: wcBERTaAttSpmm-ggTranslate-senticPolarEmotion-bully-f2
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/herobye13579/huggingface/runs/i28c752o)
+# wcBERTaAttSpmm-ggTranslate-senticPolarEmotion-bully-f2
+
+This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5206
+- Accuracy: 0.7354
+- Precision: 0.7320
+- Recall: 0.7354
+- F1 Score: 0.7335
+
+## 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: 5e-06
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.6386        | 1.0   | 120  | 0.6121          | 0.7008   | 0.4912    | 0.7008 | 0.5776   |
+| 0.603         | 2.0   | 240  | 0.5663          | 0.7144   | 0.6835    | 0.7144 | 0.6762   |
+| 0.5758        | 3.0   | 360  | 0.5828          | 0.7029   | 0.6989    | 0.7029 | 0.7007   |
+| 0.5724        | 4.0   | 480  | 0.5518          | 0.7238   | 0.6978    | 0.7238 | 0.6894   |
+| 0.5412        | 5.0   | 600  | 0.5336          | 0.7082   | 0.6926    | 0.7082 | 0.6975   |
+| 0.5295        | 6.0   | 720  | 0.5222          | 0.7280   | 0.7111    | 0.7280 | 0.7145   |
+| 0.4851        | 7.0   | 840  | 0.5090          | 0.7312   | 0.7136    | 0.7312 | 0.7162   |
+| 0.4639        | 8.0   | 960  | 0.5153          | 0.7259   | 0.7164    | 0.7259 | 0.7200   |
+| 0.4606        | 9.0   | 1080 | 0.5233          | 0.7029   | 0.7241    | 0.7029 | 0.7104   |
+| 0.4412        | 10.0  | 1200 | 0.5501          | 0.6998   | 0.7496    | 0.6998 | 0.7116   |
+| 0.4106        | 11.0  | 1320 | 0.5262          | 0.7155   | 0.7398    | 0.7155 | 0.7235   |
+| 0.3976        | 12.0  | 1440 | 0.5148          | 0.7374   | 0.7300    | 0.7374 | 0.7329   |
+| 0.3917        | 13.0  | 1560 | 0.5194          | 0.7364   | 0.7338    | 0.7364 | 0.7350   |
+| 0.3858        | 14.0  | 1680 | 0.5225          | 0.7259   | 0.7293    | 0.7259 | 0.7275   |
+| 0.3853        | 15.0  | 1800 | 0.5206          | 0.7354   | 0.7320    | 0.7354 | 0.7335   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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