初始化项目，由ModelHub XC社区提供模型
Model: nlpai-lab/kullm-polyglot-12.8b-v2 Source: Original Platform
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README.md
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---
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license: apache-2.0
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language:
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- ko
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---
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# KULLM-Polyglot-12.8B-v2
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This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on a KULLM v2
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Detail Codes are available at [KULLM Github Repository](https://github.com/nlpai-lab/KULLM)
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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: 3e-4
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- train_batch_size: 6
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- seed: 42
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- distributed_type: multi-GPU (A100 80G)
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- num_devices: 4
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- gradient_accumulation_steps: 21.3
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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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- num_epochs: 8.0
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu117
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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"_name_or_path": "/data/persuade/01_KuAlpaca/models/lora-alpaca-merged-ep5",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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"hidden_act": "gelu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_steps": "global_step301000",
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"rotary_emb_base": 10000,
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"rotary_pct": 0.5,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"use_cache": true,
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"use_parallel_residual": true,
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"vocab_size": 30080
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}
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"gpt_neox.layers.38.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.39.attention.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.39.attention.dense.bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.39.attention.dense.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.39.attention.masked_bias": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.39.attention.query_key_value.bias": "pytorch_model-00003-of-00003.bin",
|
||||
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|
||||
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|
||||
"gpt_neox.layers.39.input_layernorm.bias": "pytorch_model-00003-of-00003.bin",
|
||||
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|
||||
"gpt_neox.layers.39.mlp.dense_4h_to_h.bias": "pytorch_model-00003-of-00003.bin",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"gpt_neox.layers.39.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
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|
||||
"gpt_neox.layers.4.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"gpt_neox.layers.4.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
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|
||||
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|
||||
"gpt_neox.layers.5.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
"gpt_neox.layers.5.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
"gpt_neox.layers.6.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
"gpt_neox.layers.7.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
|
||||
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|
||||
"gpt_neox.layers.9.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin"
|
||||
}
|
||||
}
|
||||
11
special_tokens_map.json
Normal file
11
special_tokens_map.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|endoftext|>",
|
||||
"<|sep|>",
|
||||
"<|acc|>",
|
||||
"<|tel|>",
|
||||
"<|rrn|>"
|
||||
],
|
||||
"eos_token": "<|endoftext|>",
|
||||
"pad_token": "<|endoftext|>"
|
||||
}
|
||||
59855
tokenizer.json
Normal file
59855
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
7
tokenizer_config.json
Normal file
7
tokenizer_config.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"tokenizer_class": "PreTrainedTokenizerFast"
|
||||
}
|
||||
Reference in New Issue
Block a user