vuihocrnd/cls-comment-phobert-base-v2-v1.0

README.md

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+---
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+model-index:
+- name: cls_comment-phobert-base-v2-v1.0
+  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. -->
+
+# cls_comment-phobert-base-v2-v1.0
+
+This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2202
+- Accuracy: 0.9181
+- F1 Score: 0.8517
+- Recall: 0.8617
+- Precision: 0.8419
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|:---------:|
+| 0.2545        | 1.0   | 234  | 0.2509          | 0.8981   | 0.8068   | 0.7796 | 0.8360    |
+| 0.208         | 2.0   | 469  | 0.2259          | 0.9098   | 0.8399   | 0.8666 | 0.8148    |
+| 0.1675        | 2.99  | 702  | 0.2202          | 0.9181   | 0.8517   | 0.8617 | 0.8419    |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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