End of training

README.md

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+---
+base_model: techthiyanes/chinese_sentiment
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ASPECT_SENT
+  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. -->
+
+# ASPECT_SENT
+
+This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0762
+- Accuracy: 0.12
+
+## 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: 3e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 42
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 5.398         | 1.0   | 16   | 5.0890          | 0.07     |
+| 4.8417        | 2.0   | 32   | 4.5593          | 0.07     |
+| 4.585         | 3.0   | 48   | 4.2367          | 0.07     |
+| 4.2703        | 4.0   | 64   | 4.1328          | 0.13     |
+| 4.198         | 5.0   | 80   | 4.0762          | 0.12     |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4920