End of training
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README.md
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license: gemma
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library_name: peft
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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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base_model: google/gemma-7b
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datasets:
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-
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model-index:
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- name: coding_llamaduo_result3
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results: []
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# coding_llamaduo_result3
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.7502
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license: gemma
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library_name: peft
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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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base_model: google/gemma-7b
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datasets:
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- chansung/merged_ds_coding
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model-index:
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- name: coding_llamaduo_result3
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results: []
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# coding_llamaduo_result3
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the chansung/merged_ds_coding dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7502
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all_results.json
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{
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"epoch": 10.0,
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"total_flos": 1.257706785410646e+18,
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"train_loss": 1.5742560074096772,
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"train_runtime": 5911.531,
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{
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"epoch": 10.0,
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"eval_loss": 1.750213384628296,
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"eval_runtime": 1.1155,
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"eval_samples": 16,
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"eval_samples_per_second": 1.793,
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"eval_steps_per_second": 0.896,
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"total_flos": 1.257706785410646e+18,
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"train_loss": 1.5742560074096772,
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"train_runtime": 5911.531,
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eval_results.json
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{
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-
"epoch":
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"eval_loss": 1.
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-
"eval_runtime": 1.
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"eval_samples": 16,
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"eval_samples_per_second": 1.
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"eval_steps_per_second": 0.
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}
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{
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"epoch": 10.0,
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"eval_loss": 1.750213384628296,
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"eval_runtime": 1.1155,
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"eval_samples": 16,
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"eval_samples_per_second": 1.793,
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"eval_steps_per_second": 0.896
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}
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runs/Apr21_23-51-41_060407ee4835/events.out.tfevents.1713764138.060407ee4835.3304.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bb047cb09b767c6c9ff1aa13fc6b98ee2d09ac22a44e6f3a68e88f288d7e323
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size 359
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