End of training
Browse files
README.md
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license: other
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base_model: lewtun/gemma-7b-sft-full-deita-10k-v0
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: gemma-7b-dpo-full-mix1-beta-0.1
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results: []
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@@ -15,7 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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# gemma-7b-dpo-full-mix1-beta-0.1
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This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-deita-10k-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-deita-10k-v0) on the
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## Model description
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license: other
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base_model: lewtun/gemma-7b-sft-full-deita-10k-v0
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- argilla/dpo-mix-7k
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model-index:
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- name: gemma-7b-dpo-full-mix1-beta-0.1
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results: []
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# gemma-7b-dpo-full-mix1-beta-0.1
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This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-deita-10k-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-deita-10k-v0) on the argilla/dpo-mix-7k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6160
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- Rewards/chosen: -1.9864
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- Rewards/rejected: -3.4684
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- Rewards/accuracies: 0.7083
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- Rewards/margins: 1.4821
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- Logps/rejected: -486.2339
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- Logps/chosen: -473.2680
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- Logits/rejected: 99.1940
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- Logits/chosen: 105.4826
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## Model description
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all_results.json
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{
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"epoch": 0.99,
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"train_loss": 0.6733019076860868,
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"train_runtime": 575.7905,
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"train_samples": 6750,
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{
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"epoch": 0.99,
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"eval_logits/chosen": 105.48260498046875,
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"eval_logits/rejected": 99.1939697265625,
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"eval_logps/chosen": -473.2679748535156,
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"eval_logps/rejected": -486.23388671875,
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"eval_loss": 0.6159864068031311,
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"eval_rewards/accuracies": 0.7083333134651184,
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"eval_rewards/chosen": -1.986350178718567,
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"eval_rewards/margins": 1.4820828437805176,
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"eval_rewards/rejected": -3.468433141708374,
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"eval_runtime": 50.9713,
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"eval_samples": 750,
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"eval_samples_per_second": 14.714,
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"eval_steps_per_second": 0.471,
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"train_loss": 0.6733019076860868,
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"train_runtime": 575.7905,
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"train_samples": 6750,
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config.json
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"rope_theta": 10000.0,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.0.dev0",
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"use_cache":
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"vocab_size": 256000
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}
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"rope_theta": 10000.0,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.0.dev0",
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"use_cache": true,
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"vocab_size": 256000
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}
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eval_results.json
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{
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"epoch": 0.99,
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"eval_logits/chosen": 105.48260498046875,
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"eval_logits/rejected": 99.1939697265625,
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"eval_logps/chosen": -473.2679748535156,
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"eval_logps/rejected": -486.23388671875,
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"eval_loss": 0.6159864068031311,
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"eval_rewards/accuracies": 0.7083333134651184,
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"eval_rewards/chosen": -1.986350178718567,
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+
"eval_rewards/margins": 1.4820828437805176,
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"eval_rewards/rejected": -3.468433141708374,
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"eval_runtime": 50.9713,
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"eval_samples": 750,
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"eval_samples_per_second": 14.714,
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"eval_steps_per_second": 0.471
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}
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runs/Feb29_21-31-57_ip-26-0-171-230/events.out.tfevents.1709243154.ip-26-0-171-230.519606.1
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size 815
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runs/Feb29_21-37-35_ip-26-0-164-207/events.out.tfevents.1709242747.ip-26-0-164-207.2831688.0
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size 8250
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