yangzhao02 commited on
Commit
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1 Parent(s): 1ac92ea

Model save

Browse files
README.md CHANGED
@@ -2,15 +2,11 @@
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  license: apache-2.0
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  base_model: Qwen/Qwen2-0.5B
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  tags:
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- - alignment-handbook
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- - trl
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- - sft
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- - generated_from_trainer
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  - trl
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  - sft
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  - generated_from_trainer
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  datasets:
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- - HuggingFaceH4/ultrachat_200k
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  model-index:
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  - name: qwen2-0.5b-sft
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  results: []
@@ -19,12 +15,12 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhaoyang1/huggingface/runs/h6gigsup)
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  # qwen2-0.5b-sft
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- This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the HuggingFaceH4/ultrachat_200k dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5079
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  ## Model description
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@@ -62,7 +58,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.5055 | 0.9997 | 1911 | 1.5079 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: Qwen/Qwen2-0.5B
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  tags:
 
 
 
 
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  - trl
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  - sft
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  - generated_from_trainer
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  datasets:
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+ - generator
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  model-index:
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  - name: qwen2-0.5b-sft
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  results: []
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhaoyang1/huggingface/runs/n1cgl3ti)
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  # qwen2-0.5b-sft
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+ This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5269
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.524 | 0.9999 | 1888 | 1.5269 |
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  ### Framework versions
all_results.json CHANGED
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- "total_flos": 107512363745280.0,
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- "train_loss": 1.5265680355653908,
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  "train_samples": 207864,
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- "train_steps_per_second": 0.123
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  }
 
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config.json CHANGED
@@ -4,8 +4,8 @@
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  "Qwen2ForCausalLM"
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  ],
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  "attention_dropout": 0.0,
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  "hidden_act": "silu",
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@@ -16,13 +16,14 @@
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  "num_attention_heads": 14,
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  "num_hidden_layers": 24,
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  "num_key_value_heads": 2,
 
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  "rms_norm_eps": 1e-06,
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  "rope_theta": 1000000.0,
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  "sliding_window": 131072,
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  "tie_word_embeddings": true,
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  "torch_dtype": "float16",
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- "use_cache": true,
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  "use_sliding_window": false,
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- "vocab_size": 151936
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  }
 
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  "Qwen2ForCausalLM"
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  "tie_word_embeddings": true,
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  "torch_dtype": "float16",
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  "transformers_version": "4.42.0",
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+ "use_cache": false,
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generation_config.json CHANGED
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  "max_new_tokens": 2048,
 
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special_tokens_map.json CHANGED
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tokenizer_config.json CHANGED
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  "<|im_start|>",
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- "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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