loubnabnl HF staff commited on
Commit
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1 Parent(s): 57147fd

End of training

Browse files
README.md CHANGED
@@ -1,9 +1,15 @@
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  ---
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  base_model: HuggingFaceTB/cosmo2-350M-webinst-sc2
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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: cosmo2-350M-webinst-sc2-dpo-argilla-ep1
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  results: []
@@ -15,7 +21,17 @@ 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://wandb.ai/loubnabnl/huggingface/runs/z5gb262b)
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  # cosmo2-350M-webinst-sc2-dpo-argilla-ep1
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- This model is a fine-tuned version of [HuggingFaceTB/cosmo2-350M-webinst-sc2](https://huggingface.co/HuggingFaceTB/cosmo2-350M-webinst-sc2) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  ---
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  base_model: HuggingFaceTB/cosmo2-350M-webinst-sc2
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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: cosmo2-350M-webinst-sc2-dpo-argilla-ep1
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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://wandb.ai/loubnabnl/huggingface/runs/z5gb262b)
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  # cosmo2-350M-webinst-sc2-dpo-argilla-ep1
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+ This model is a fine-tuned version of [HuggingFaceTB/cosmo2-350M-webinst-sc2](https://huggingface.co/HuggingFaceTB/cosmo2-350M-webinst-sc2) 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: 0.6834
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+ - Rewards/chosen: -0.0086
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+ - Rewards/rejected: -0.0304
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+ - Rewards/accuracies: 0.5938
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+ - Rewards/margins: 0.0218
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+ - Logps/rejected: -418.5675
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+ - Logps/chosen: -442.4709
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+ - Logits/rejected: -0.7106
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+ - Logits/chosen: -0.5211
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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": 0.985781990521327,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.6860739244864538,
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  "train_runtime": 316.322,
 
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  {
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  "epoch": 0.985781990521327,
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+ "eval_logits/chosen": -0.5211005210876465,
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+ "eval_logits/rejected": -0.7105662226676941,
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+ "eval_logps/chosen": -442.4708557128906,
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+ "eval_logps/rejected": -418.5675354003906,
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+ "eval_loss": 0.6833909749984741,
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+ "eval_rewards/accuracies": 0.59375,
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+ "eval_rewards/chosen": -0.008601006120443344,
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+ "eval_rewards/margins": 0.021825773641467094,
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+ "eval_rewards/rejected": -0.03042677976191044,
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+ "eval_runtime": 8.5409,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 87.812,
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+ "eval_steps_per_second": 2.81,
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  "total_flos": 0.0,
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  "train_loss": 0.6860739244864538,
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  "train_runtime": 316.322,
config.json CHANGED
@@ -25,6 +25,6 @@
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  "tie_word_embeddings": true,
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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": 49152
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  }
 
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  "tie_word_embeddings": true,
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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": 49152
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 0.985781990521327,
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+ "eval_logits/chosen": -0.5211005210876465,
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+ "eval_logits/rejected": -0.7105662226676941,
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+ "eval_logps/chosen": -442.4708557128906,
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+ "eval_logps/rejected": -418.5675354003906,
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+ "eval_loss": 0.6833909749984741,
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+ "eval_rewards/accuracies": 0.59375,
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+ "eval_rewards/chosen": -0.008601006120443344,
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+ "eval_rewards/margins": 0.021825773641467094,
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+ "eval_rewards/rejected": -0.03042677976191044,
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+ "eval_runtime": 8.5409,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 87.812,
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+ "eval_steps_per_second": 2.81
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+ }
runs/Jul15_21-49-55_ip-26-0-167-245/events.out.tfevents.1721080634.ip-26-0-167-245.4053728.1 ADDED
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