End of training
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README.md
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---
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base_model: TII-Frontier-Team/falcon3-3b-instruct
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library_name: peft
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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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@@ -15,17 +18,17 @@ should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b-dpo-qlora
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This model is a fine-tuned version of [TII-Frontier-Team/falcon3-3b-instruct](https://huggingface.co/TII-Frontier-Team/falcon3-3b-instruct) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0299
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- Rewards/chosen: -4.
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- Rewards/rejected: -10.
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- Rewards/accuracies: 0.
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- Rewards/margins: 5.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: 2.
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- Logits/chosen: 2.
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## Model description
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---
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base_model: TII-Frontier-Team/falcon3-3b-instruct
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datasets:
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- TII-Frontier-Team/Reasoning_DPO
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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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- dpo
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- generated_from_trainer
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# zephyr-7b-dpo-qlora
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This model is a fine-tuned version of [TII-Frontier-Team/falcon3-3b-instruct](https://huggingface.co/TII-Frontier-Team/falcon3-3b-instruct) on the TII-Frontier-Team/Reasoning_DPO dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0299
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- Rewards/chosen: -4.6362
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- Rewards/rejected: -10.4479
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- Rewards/accuracies: 0.9306
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- Rewards/margins: 5.8117
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- Logps/rejected: -1080.7013
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- Logps/chosen: -496.4129
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- Logits/rejected: 2.0470
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- Logits/chosen: 2.2558
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.18858218038370866,
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"train_runtime": 16104.4918,
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{
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"epoch": 1.0,
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"eval_logits/chosen": 2.2557647228240967,
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"eval_logits/rejected": 2.0469555854797363,
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"eval_logps/chosen": -496.4129333496094,
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"eval_logps/rejected": -1080.7012939453125,
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"eval_loss": 0.029871011152863503,
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"eval_rewards/accuracies": 0.9305970072746277,
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"eval_rewards/chosen": -4.636161804199219,
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"eval_rewards/margins": 5.8116912841796875,
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"eval_rewards/rejected": -10.44785213470459,
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"eval_runtime": 215.9125,
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"eval_samples": 21417,
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"eval_samples_per_second": 99.193,
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"eval_steps_per_second": 1.552,
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"total_flos": 0.0,
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"train_loss": 0.18858218038370866,
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"train_runtime": 16104.4918,
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eval_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": 2.
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"eval_logits/rejected":
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"eval_logps/chosen": -
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"eval_logps/rejected": -
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen": -4.
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"eval_rewards/margins": 5.
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"eval_rewards/rejected": -10.
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"eval_runtime":
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"eval_samples": 21417,
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"eval_samples_per_second": 99.
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"eval_steps_per_second": 1.
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}
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{
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"epoch": 1.0,
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"eval_logits/chosen": 2.2557647228240967,
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"eval_logits/rejected": 2.0469555854797363,
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"eval_logps/chosen": -496.4129333496094,
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+
"eval_logps/rejected": -1080.7012939453125,
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"eval_loss": 0.029871011152863503,
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"eval_rewards/accuracies": 0.9305970072746277,
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"eval_rewards/chosen": -4.636161804199219,
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"eval_rewards/margins": 5.8116912841796875,
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"eval_rewards/rejected": -10.44785213470459,
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"eval_runtime": 215.9125,
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"eval_samples": 21417,
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"eval_samples_per_second": 99.193,
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"eval_steps_per_second": 1.552
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}
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runs/Oct04_18-05-32_ip-172-16-43-187.us-west-2.compute.internal/events.out.tfevents.1728084019.ip-172-16-43-187.us-west-2.compute.internal.55061.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ca4bc2743b9d78d09472dc0e18055fd858bec5a5e4211226899eeb0eee23e16
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size 828
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