hugodk-sch
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End of training
Browse files- README.md +13 -11
- all_results.json +3 -3
- eval_results.json +3 -3
README.md
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---
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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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- alignment-handbook
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- generated_from_trainer
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base_model: NbAiLab/nb-gpt-j-6B-v2
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model-index:
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- name: aftonposten-6b-align-scan
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results: []
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# aftonposten-6b-align-scan
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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## Model description
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---
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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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base_model: NbAiLab/nb-gpt-j-6B-v2
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datasets:
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- hugodk-sch/aftonposten_title_prefs
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model-index:
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- name: aftonposten-6b-align-scan
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results: []
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# aftonposten-6b-align-scan
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This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9991
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- Rewards/chosen: 0.0161
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- Rewards/rejected: 0.0150
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- Rewards/accuracies: 0.5365
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- Rewards/margins: 0.0010
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- Logps/rejected: -37.4999
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- Logps/chosen: -34.0167
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- Logits/rejected: -2.2391
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- Logits/chosen: -2.2439
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## Model description
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all_results.json
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"eval_rewards/chosen": 0.01607290655374527,
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"eval_rewards/margins": 0.0010251295752823353,
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"eval_rewards/rejected": 0.015047776512801647,
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"eval_runtime":
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"eval_samples": 343,
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"eval_samples_per_second": 2.
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"eval_steps_per_second": 0.
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"train_loss": 0.21873634759481853,
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"train_runtime": 627.4596,
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"train_samples": 3079,
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"eval_rewards/chosen": 0.01607290655374527,
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"eval_rewards/margins": 0.0010251295752823353,
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"eval_rewards/rejected": 0.015047776512801647,
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"eval_runtime": 146.1502,
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"eval_samples": 343,
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"eval_samples_per_second": 2.347,
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"eval_steps_per_second": 0.294,
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"train_loss": 0.21873634759481853,
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"train_runtime": 627.4596,
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"train_samples": 3079,
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eval_results.json
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"eval_rewards/chosen": 0.01607290655374527,
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"eval_rewards/margins": 0.0010251295752823353,
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"eval_rewards/rejected": 0.015047776512801647,
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"eval_runtime":
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"eval_samples": 343,
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"eval_samples_per_second": 2.
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"eval_steps_per_second": 0.
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}
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"eval_rewards/chosen": 0.01607290655374527,
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"eval_rewards/margins": 0.0010251295752823353,
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"eval_rewards/rejected": 0.015047776512801647,
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"eval_runtime": 146.1502,
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"eval_samples": 343,
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"eval_samples_per_second": 2.347,
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"eval_steps_per_second": 0.294
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}
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