ale-bay commited on
Commit
8580e09
1 Parent(s): 15908bf

End of training

Browse files
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: gemma
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  base_model: ale-bay/zephyr-2b-gemma-sft
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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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  model-index:
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  - name: zephyr-2b-gemma-sft-dpo
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  results: []
@@ -16,17 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://zebra.wandb.io/cto/distillm/runs/shrbgd04)
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  # zephyr-2b-gemma-sft-dpo
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- This model is a fine-tuned version of [ale-bay/zephyr-2b-gemma-sft](https://huggingface.co/ale-bay/zephyr-2b-gemma-sft) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5960
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- - Rewards/chosen: 0.2261
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- - Rewards/rejected: -0.0336
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  - Rewards/accuracies: 0.7188
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- - Rewards/margins: 0.2597
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- - Logps/rejected: -363.7130
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- - Logps/chosen: -363.7419
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  - Logits/rejected: -15.9487
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- - Logits/chosen: -16.5860
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  ## Model description
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  license: gemma
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  base_model: ale-bay/zephyr-2b-gemma-sft
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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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+ - trl
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+ - dpo
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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: zephyr-2b-gemma-sft-dpo
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  results: []
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://zebra.wandb.io/cto/distillm/runs/shrbgd04)
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  # zephyr-2b-gemma-sft-dpo
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+ This model is a fine-tuned version of [ale-bay/zephyr-2b-gemma-sft](https://huggingface.co/ale-bay/zephyr-2b-gemma-sft) 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: 0.5950
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+ - Rewards/chosen: 0.2219
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+ - Rewards/rejected: -0.0437
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  - Rewards/accuracies: 0.7188
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+ - Rewards/margins: 0.2656
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+ - Logps/rejected: -363.9149
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+ - Logps/chosen: -363.8262
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  - Logits/rejected: -15.9487
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+ - Logits/chosen: -16.5867
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,18 @@
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  {
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  "epoch": 1.971563981042654,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.6262502945386447,
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  "train_runtime": 431.1142,
 
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  {
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  "epoch": 1.971563981042654,
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+ "eval_logits/chosen": -16.5866641998291,
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+ "eval_logits/rejected": -15.948689460754395,
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+ "eval_logps/chosen": -363.826171875,
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+ "eval_logps/rejected": -363.9148864746094,
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+ "eval_loss": 0.5950456857681274,
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+ "eval_rewards/accuracies": 0.71875,
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+ "eval_rewards/chosen": 0.22188298404216766,
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+ "eval_rewards/margins": 0.26559606194496155,
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+ "eval_rewards/rejected": -0.043713077902793884,
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+ "eval_runtime": 6.8121,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 110.098,
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+ "eval_steps_per_second": 3.523,
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  "total_flos": 0.0,
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  "train_loss": 0.6262502945386447,
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  "train_runtime": 431.1142,
config.json CHANGED
@@ -24,6 +24,6 @@
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  "rope_theta": 10000.0,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.42.3",
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- "use_cache": false,
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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": "4.42.3",
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+ "use_cache": true,
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  "vocab_size": 256000
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.971563981042654,
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+ "eval_logits/chosen": -16.5866641998291,
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+ "eval_logits/rejected": -15.948689460754395,
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+ "eval_logps/chosen": -363.826171875,
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+ "eval_logps/rejected": -363.9148864746094,
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+ "eval_loss": 0.5950456857681274,
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+ "eval_rewards/accuracies": 0.71875,
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+ "eval_rewards/chosen": 0.22188298404216766,
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+ "eval_rewards/margins": 0.26559606194496155,
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+ "eval_rewards/rejected": -0.043713077902793884,
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+ "eval_runtime": 6.8121,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 110.098,
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+ "eval_steps_per_second": 3.523
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+ }
runs/Jul11_11-23-58_ale-distillm-8-0-0/events.out.tfevents.1720694314.ale-distillm-8-0-0.3691.1 ADDED
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+ size 815