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BelleGroup
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BELLE-7B-2M

Text2Text Generation
Transformers
PyTorch
Chinese
English
bloom
feature-extraction
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -55,7 +55,7 @@ The code of Chinese data generation and other detailed information can be found
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  We trained models using datasets of different sizes (200,000, 600,000, 1,000,000, and 2,000,000 samples) for instruction learning, and we obtained different model versions as shown below:
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  | Datasize| 200,000 | 600,000 | 1,000,000 | 2,000,000 |
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- | ----- | ----- | ----- | ----- |
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  | Finetuned Model | [BELLE-7B-0.2M](https://huggingface.co/BelleGroup/BELLE-7B-0.2M) | [BELLE-7B-0.6M](https://huggingface.co/BelleGroup/BELLE-7B-0.6M) | [BELLE-7B-1M](https://huggingface.co/BelleGroup/BELLE-7B-1M) | [BELLE-7B-2M](https://huggingface.co/BelleGroup/BELLE-7B-2M) |
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  ## Training hyper-parameters
@@ -130,7 +130,7 @@ BELLE模型以Bloomz-7b1-mt为基础，在 2.0M 条中文数据上，结合Stanf
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  我们采取了不同大小规模（20万、60万、100万和200万样本）的指令学习的数据集训练模型，我们得到不同的模型版本如下所示:
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  | Datasize| 200,000 | 600,000 | 1,000,000 | 2,000,000 |
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- | ----- | ----- | ----- | ----- |
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  | Finetuned Model | [BELLE-7B-0.2M](https://huggingface.co/BelleGroup/BELLE-7B-0.2M) | [BELLE-7B-0.6M](https://huggingface.co/BelleGroup/BELLE-7B-0.6M) | [BELLE-7B-1M](https://huggingface.co/BelleGroup/BELLE-7B-1M) | [BELLE-7B-2M](https://huggingface.co/BelleGroup/BELLE-7B-2M)
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  ## 模型训练超参数
 
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  We trained models using datasets of different sizes (200,000, 600,000, 1,000,000, and 2,000,000 samples) for instruction learning, and we obtained different model versions as shown below:
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  | Datasize| 200,000 | 600,000 | 1,000,000 | 2,000,000 |
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+ | ----- | ----- | ----- | ----- | ----- |
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  | Finetuned Model | [BELLE-7B-0.2M](https://huggingface.co/BelleGroup/BELLE-7B-0.2M) | [BELLE-7B-0.6M](https://huggingface.co/BelleGroup/BELLE-7B-0.6M) | [BELLE-7B-1M](https://huggingface.co/BelleGroup/BELLE-7B-1M) | [BELLE-7B-2M](https://huggingface.co/BelleGroup/BELLE-7B-2M) |
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  ## Training hyper-parameters
 
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  我们采取了不同大小规模（20万、60万、100万和200万样本）的指令学习的数据集训练模型，我们得到不同的模型版本如下所示:
132
  | Datasize| 200,000 | 600,000 | 1,000,000 | 2,000,000 |
133
+ | ----- | ----- | ----- | ----- | ----- |
134
  | Finetuned Model | [BELLE-7B-0.2M](https://huggingface.co/BelleGroup/BELLE-7B-0.2M) | [BELLE-7B-0.6M](https://huggingface.co/BelleGroup/BELLE-7B-0.6M) | [BELLE-7B-1M](https://huggingface.co/BelleGroup/BELLE-7B-1M) | [BELLE-7B-2M](https://huggingface.co/BelleGroup/BELLE-7B-2M)
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  ## 模型训练超参数