End of training
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README.md
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---
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base_model: facebook/opt-350m
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datasets:
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-
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library_name: peft
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license: other
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tags:
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- trl
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- sft
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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: opt350
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# opt350
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the
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## Model description
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---
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base_model: facebook/opt-350m
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datasets:
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- HuggingFaceH4/ultrachat_200k
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library_name: peft
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license: other
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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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model-index:
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- name: opt350
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# opt350
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the HuggingFaceH4/ultrachat_200k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7869
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## Model description
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all_results.json
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{
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"epoch": 0.9999380306128772,
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"eval_loss": 1.7869144678115845,
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"eval_runtime":
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"eval_samples": 23109,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"total_flos": 4248917998829568.0,
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"train_loss": 0.0,
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"train_runtime": 0.013,
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{
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"epoch": 0.9999380306128772,
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"eval_loss": 1.7869144678115845,
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"eval_runtime": 154.2539,
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"eval_samples": 23109,
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"eval_samples_per_second": 92.568,
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"eval_steps_per_second": 5.789,
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"total_flos": 4248917998829568.0,
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"train_loss": 0.0,
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"train_runtime": 0.013,
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eval_results.json
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{
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"epoch": 0.9999380306128772,
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"eval_loss": 1.7869144678115845,
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-
"eval_runtime":
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"eval_samples": 23109,
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-
"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 0.9999380306128772,
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"eval_loss": 1.7869144678115845,
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+
"eval_runtime": 154.2539,
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"eval_samples": 23109,
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"eval_samples_per_second": 92.568,
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"eval_steps_per_second": 5.789
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}
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runs/Nov06_12-35-29_gnode001.cluster/events.out.tfevents.1730925495.gnode001.cluster.319001.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:b38afe43ac8b29eb807db84a8b801811bbf234b7edb7a7c45bb15515cde766bd
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size 359
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