silviasapora
commited on
End of training
Browse files- README.md +7 -1
- all_results.json +15 -15
- config.json +1 -1
- eval_results.json +16 -16
- runs/Sep14_21-14-45_65ecb96dba42/events.out.tfevents.1726365868.65ecb96dba42.1985.1 +3 -0
README.md
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@@ -3,10 +3,16 @@ library_name: transformers
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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-orpo
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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-orpo
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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: 1.7559
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- Rewards/chosen: -0.0650
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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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- argilla/dpo-mix-7k
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model-index:
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- name: gemma-7b-orpo
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results: []
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# gemma-7b-orpo
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) 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: 1.7559
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- Rewards/chosen: -0.0650
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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": 90.
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"eval_samples": 553,
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"eval_samples_per_second": 6.
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"eval_steps_per_second": 1.
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"total_flos": 0.0,
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"train_loss": 0.968865410152301,
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"train_runtime": 16784.8411,
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{
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"epoch": 3.0,
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"eval_log_odds_chosen": 0.3720725178718567,
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"eval_log_odds_ratio": -0.699243426322937,
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"eval_logits/chosen": 295.62017822265625,
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"eval_logits/rejected": 266.0260314941406,
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"eval_logps/chosen": -1.3004335165023804,
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"eval_logps/rejected": -1.5281699895858765,
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"eval_loss": 1.7558966875076294,
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"eval_nll_loss": 1.6941194534301758,
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"eval_rewards/accuracies": 0.597122311592102,
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"eval_rewards/chosen": -0.06502167135477066,
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"eval_rewards/margins": 0.011386833153665066,
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"eval_rewards/rejected": -0.0764085054397583,
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"eval_runtime": 90.3714,
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"eval_samples": 553,
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"eval_samples_per_second": 6.119,
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"eval_steps_per_second": 1.538,
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"total_flos": 0.0,
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"train_loss": 0.968865410152301,
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"train_runtime": 16784.8411,
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config.json
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"rope_theta": 10000.0,
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"torch_dtype": "float32",
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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": "float32",
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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": 90.
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"eval_samples": 553,
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"eval_samples_per_second": 6.
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"eval_steps_per_second": 1.
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}
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{
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"epoch": 3.0,
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"eval_log_odds_chosen": 0.3720725178718567,
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"eval_log_odds_ratio": -0.699243426322937,
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"eval_logits/chosen": 295.62017822265625,
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"eval_logits/rejected": 266.0260314941406,
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"eval_logps/chosen": -1.3004335165023804,
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"eval_logps/rejected": -1.5281699895858765,
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"eval_loss": 1.7558966875076294,
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"eval_nll_loss": 1.6941194534301758,
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"eval_rewards/accuracies": 0.597122311592102,
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"eval_rewards/chosen": -0.06502167135477066,
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"eval_rewards/margins": 0.011386833153665066,
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"eval_rewards/rejected": -0.0764085054397583,
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"eval_runtime": 90.3714,
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"eval_samples": 553,
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"eval_samples_per_second": 6.119,
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"eval_steps_per_second": 1.538
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}
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runs/Sep14_21-14-45_65ecb96dba42/events.out.tfevents.1726365868.65ecb96dba42.1985.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec77d5fdf99c43e6873c373e207e97de8605e29a17f2ae73661f2eb8667093df
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size 997
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