yangzhao02
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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: llama3
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base_model: meta-llama/Meta-Llama-3-8B
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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: llama3-8b-hh-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/xmawgtp8)
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# llama3-8b-hh-sft
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.5895
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B
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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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- yangzhao02/hh_sft
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model-index:
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- name: llama3-8b-hh-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/xmawgtp8)
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# llama3-8b-hh-sft
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the yangzhao02/hh_sft dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5895
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all_results.json
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{
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"epoch": 0.9928057553956835,
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"total_flos": 57579405312000.0,
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"train_loss": 1.8519639035929805,
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"train_runtime": 1562.6462,
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{
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"epoch": 0.9928057553956835,
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"eval_loss": 1.5895432233810425,
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"eval_runtime": 20.6636,
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"eval_samples": 8552,
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"eval_samples_per_second": 46.217,
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"eval_steps_per_second": 0.726,
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"total_flos": 57579405312000.0,
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"train_loss": 1.8519639035929805,
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"train_runtime": 1562.6462,
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.0",
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"use_cache":
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"vocab_size": 128256
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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eval_results.json
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{
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"epoch": 0.9928057553956835,
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"eval_loss": 1.5895432233810425,
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"eval_runtime": 20.6636,
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"eval_samples": 8552,
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"eval_samples_per_second": 46.217,
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"eval_steps_per_second": 0.726
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}
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