DatPySci commited on
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1 Parent(s): 0ff9daf

End of training

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  1. README.md +5 -1
  2. config.json +1 -1
README.md CHANGED
@@ -1,7 +1,11 @@
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  ---
 
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  base_model: DatPySci/pythia-1b-sft-full
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  tags:
 
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  - generated_from_trainer
 
 
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  model-index:
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  - name: pythia-1b-kto-iter0
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  results: []
@@ -12,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # pythia-1b-kto-iter0
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- This model is a fine-tuned version of [DatPySci/pythia-1b-sft-full](https://huggingface.co/DatPySci/pythia-1b-sft-full) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2591
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  - Rewards/real: 0.0604
 
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  ---
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+ license: apache-2.0
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  base_model: DatPySci/pythia-1b-sft-full
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  tags:
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+ - alignment-handbook
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  - generated_from_trainer
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+ datasets:
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+ - DatPySci/iter0
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  model-index:
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  - name: pythia-1b-kto-iter0
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  results: []
 
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  # pythia-1b-kto-iter0
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+ This model is a fine-tuned version of [DatPySci/pythia-1b-sft-full](https://huggingface.co/DatPySci/pythia-1b-sft-full) on the DatPySci/iter0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2591
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  - Rewards/real: 0.0604
config.json CHANGED
@@ -24,7 +24,7 @@
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.38.1",
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- "use_cache": false,
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  "use_parallel_residual": true,
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  "vocab_size": 50304
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  }
 
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.38.1",
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+ "use_cache": true,
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  "use_parallel_residual": true,
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  "vocab_size": 50304
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  }