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--- |
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base_model: qgyd2021/chinese_chitchat |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: chinese_chitchat |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# chinese_chitchat |
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This model is a fine-tuned version of [qgyd2021/chinese_chitchat](https://huggingface.co/qgyd2021/chinese_chitchat) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1314 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 10000 |
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- num_epochs: 40.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.5203 | 0.29 | 1000 | 2.0882 | |
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| 1.4243 | 0.58 | 2000 | 2.1525 | |
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| 1.3502 | 0.86 | 3000 | 2.1544 | |
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| 1.5332 | 1.15 | 4000 | 2.0826 | |
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| 1.5208 | 1.44 | 5000 | 2.0789 | |
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| 1.5521 | 1.73 | 6000 | 2.0613 | |
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| 1.5634 | 2.02 | 7000 | 2.1124 | |
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| 1.5067 | 2.3 | 8000 | 2.1014 | |
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| 1.5573 | 2.59 | 9000 | 2.0972 | |
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| 1.5949 | 2.88 | 10000 | 2.0907 | |
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| 1.5491 | 3.17 | 11000 | 2.1314 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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