yangzhao02
commited on
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End of training
Browse files- README.md +6 -2
- all_results.json +5 -0
- config.json +1 -1
- eval_results.json +8 -0
README.md
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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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model-index:
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- name: qwen2-0.5b-sft
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results: []
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.5079
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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: []
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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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all_results.json
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{
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"epoch": 0.999738425320429,
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"total_flos": 107512363745280.0,
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"train_loss": 1.5265680355653908,
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"train_runtime": 15553.3872,
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{
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"epoch": 0.999738425320429,
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"eval_loss": 1.5079056024551392,
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"eval_runtime": 417.8091,
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"eval_samples": 23109,
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"eval_samples_per_second": 64.802,
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"eval_steps_per_second": 4.052,
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"total_flos": 107512363745280.0,
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"train_loss": 1.5265680355653908,
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"train_runtime": 15553.3872,
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config.json
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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":
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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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": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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eval_results.json
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{
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"epoch": 0.999738425320429,
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"eval_loss": 1.5079056024551392,
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"eval_runtime": 417.8091,
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"eval_samples": 23109,
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"eval_samples_per_second": 64.802,
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"eval_steps_per_second": 4.052
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}
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