End of training
Browse files
README.md
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license: gemma
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base_model: google/gemma-7b
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tags:
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- trl
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- orpo
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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: gemma-7b-borpo-low-quality-v4
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results: []
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@@ -17,7 +23,7 @@ should probably proofread and complete it, then remove this comment. -->
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# gemma-7b-borpo-low-quality-v4
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on
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It achieves the following results on the evaluation set:
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- Loss: 1.8577
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- Rewards/chosen: -0.5993
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license: gemma
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base_model: google/gemma-7b
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tags:
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- alignment-handbook
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- trl
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- orpo
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- generated_from_trainer
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- trl
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- orpo
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- silviasapora/low_quality_dpo7k
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model-index:
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- name: gemma-7b-borpo-low-quality-v4
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results: []
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# gemma-7b-borpo-low-quality-v4
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the silviasapora/low_quality_dpo7k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8577
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- Rewards/chosen: -0.5993
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all_results.json
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{
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"epoch": 3.0,
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"eval_log_odds_chosen": 0.
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"eval_log_odds_ratio": -0.
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"eval_logits/chosen":
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"eval_logits/rejected":
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"eval_logps/chosen": -1.
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"eval_logps/rejected": -1.
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"eval_loss": 1.
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"eval_nll_loss": 1.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen": -0.
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"eval_rewards/margins": 0.
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"eval_rewards/rejected": -0.
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"eval_runtime":
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"eval_samples": 553,
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"total_flos": 0.0,
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"train_loss": 2.2429193542117165,
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"train_runtime": 13126.4564,
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{
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"epoch": 3.0,
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"eval_log_odds_chosen": 0.4396049678325653,
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"eval_log_odds_ratio": -0.6420542597770691,
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"eval_logits/chosen": 301.1214599609375,
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"eval_logits/rejected": 240.39068603515625,
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"eval_logps/chosen": -1.19857656955719,
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"eval_logps/rejected": -1.5204962491989136,
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"eval_loss": 1.8577181100845337,
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"eval_nll_loss": 1.5532194375991821,
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"eval_rewards/accuracies": 0.6142857074737549,
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"eval_rewards/chosen": -0.599288284778595,
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"eval_rewards/margins": 0.16095994412899017,
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"eval_rewards/rejected": -0.7602481245994568,
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"eval_runtime": 201.8893,
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"eval_samples": 553,
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"eval_samples_per_second": 2.739,
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"eval_steps_per_second": 0.347,
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"total_flos": 0.0,
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"train_loss": 2.2429193542117165,
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"train_runtime": 13126.4564,
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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": "4.44.2",
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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": "4.44.2",
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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":
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"eval_log_odds_chosen": 0.
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"eval_log_odds_ratio": -0.
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"eval_logits/chosen":
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"eval_logits/rejected":
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"eval_logps/chosen": -1.
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"eval_logps/rejected": -1.
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"eval_loss": 1.
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"eval_nll_loss": 1.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen": -0.
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"eval_rewards/margins": 0.
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"eval_rewards/rejected": -0.
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"eval_runtime":
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"eval_samples": 553,
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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}
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{
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"epoch": 3.0,
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"eval_log_odds_chosen": 0.4396049678325653,
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"eval_log_odds_ratio": -0.6420542597770691,
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"eval_logits/chosen": 301.1214599609375,
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"eval_logits/rejected": 240.39068603515625,
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"eval_logps/chosen": -1.19857656955719,
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"eval_logps/rejected": -1.5204962491989136,
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"eval_loss": 1.8577181100845337,
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"eval_nll_loss": 1.5532194375991821,
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"eval_rewards/accuracies": 0.6142857074737549,
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"eval_rewards/chosen": -0.599288284778595,
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"eval_rewards/margins": 0.16095994412899017,
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"eval_rewards/rejected": -0.7602481245994568,
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"eval_runtime": 201.8893,
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"eval_samples": 553,
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"eval_samples_per_second": 2.739,
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"eval_steps_per_second": 0.347
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}
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runs/Sep23_17-22-00_zizgpu06.cpu.stats.ox.ac.uk/events.out.tfevents.1727122310.zizgpu06.cpu.stats.ox.ac.uk.54426.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:93e86b0da25626dc246ca7e96384edf6422f7dd0d6cf46c9149a602054c80823
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size 997
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