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End of training

Browse files
README.md CHANGED
@@ -2,9 +2,10 @@
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  license: gemma
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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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- - llama-factory
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  - generated_from_trainer
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  base_model: google/gemma-2b-it
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  model-index:
@@ -17,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # Gemma-2B-It-ORPO-SALT
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- This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3294
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  - Rewards/chosen: -0.1257
 
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  license: gemma
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  library_name: peft
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  tags:
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+ - llama-factory
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+ - lora
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  - trl
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  - dpo
 
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  - generated_from_trainer
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  base_model: google/gemma-2b-it
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  model-index:
 
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  # Gemma-2B-It-ORPO-SALT
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+ This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the dpo_mix_en and the bct_non_cot_dpo_1000 datasets.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3294
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  - Rewards/chosen: -0.1257
all_results.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.9969690846635686,
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+ "eval_logits/chosen": -20.66438865661621,
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+ "eval_logits/rejected": -20.695892333984375,
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+ "eval_logps/chosen": -1.2573115825653076,
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+ "eval_logps/rejected": -1.3996058702468872,
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+ "eval_loss": 1.3293771743774414,
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+ "eval_odds_ratio_loss": 0.7206552624702454,
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+ "eval_rewards/accuracies": 0.5345454812049866,
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+ "eval_rewards/chosen": -0.12573117017745972,
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+ "eval_rewards/margins": 0.014229409396648407,
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+ "eval_rewards/rejected": -0.13996057212352753,
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+ "eval_runtime": 82.3315,
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+ "eval_samples_per_second": 13.361,
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+ "eval_sft_loss": 1.2573115825653076,
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+ "eval_steps_per_second": 6.68,
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+ "total_flos": 5.618252880760013e+17,
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+ "train_loss": 1.3892074464594277,
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+ "train_runtime": 8722.5011,
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+ "train_samples_per_second": 3.404,
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+ "train_steps_per_second": 0.213
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+ }
eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.9969690846635686,
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+ "eval_logits/chosen": -20.66438865661621,
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+ "eval_logits/rejected": -20.695892333984375,
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+ "eval_logps/chosen": -1.2573115825653076,
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+ "eval_logps/rejected": -1.3996058702468872,
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+ "eval_loss": 1.3293771743774414,
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+ "eval_odds_ratio_loss": 0.7206552624702454,
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+ "eval_rewards/accuracies": 0.5345454812049866,
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+ "eval_rewards/chosen": -0.12573117017745972,
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+ "eval_rewards/margins": 0.014229409396648407,
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+ "eval_rewards/rejected": -0.13996057212352753,
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+ "eval_runtime": 82.3315,
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+ "eval_samples_per_second": 13.361,
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+ "eval_sft_loss": 1.2573115825653076,
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+ "eval_steps_per_second": 6.68
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+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.9969690846635686,
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+ "total_flos": 5.618252880760013e+17,
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+ "train_loss": 1.3892074464594277,
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+ "train_runtime": 8722.5011,
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+ "train_samples_per_second": 3.404,
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+ "train_steps_per_second": 0.213
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+ }
trainer_state.json ADDED
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training_eval_loss.png ADDED
training_loss.png ADDED
training_rewards_accuracies.png ADDED
training_sft_loss.png ADDED