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End of training

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  1. README.md +4 -1
  2. config.json +43 -0
README.md CHANGED
@@ -2,10 +2,13 @@
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  license: apache-2.0
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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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  - generated_from_trainer
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  base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
 
 
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  model-index:
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  - name: tinyllama-1.1b-mt-dpo-qlora
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  results: []
@@ -16,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # tinyllama-1.1b-mt-dpo-qlora
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- This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
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  ## Model description
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  license: apache-2.0
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  library_name: peft
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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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  base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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+ datasets:
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+ - haoranxu/ALMA-R-Preference
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  model-index:
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  - name: tinyllama-1.1b-mt-dpo-qlora
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  results: []
 
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  # tinyllama-1.1b-mt-dpo-qlora
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+ This model is a fine-tuned version of [martimfasantos/tinyllama-1.1b-mt-sft-qlora](https://huggingface.co/martimfasantos/tinyllama-1.1b-mt-sft-qlora) on the haoranxu/ALMA-R-Preference dataset.
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  ## Model description
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config.json ADDED
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+ {
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+ "_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5632,
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+ "max_position_embeddings": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 22,
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+ "num_key_value_heads": 4,
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+ "pretraining_tp": 1,
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+ "quantization_config": {
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+ "_load_in_4bit": true,
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+ "_load_in_8bit": false,
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+ "bnb_4bit_compute_dtype": "bfloat16",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "nf4",
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+ "bnb_4bit_use_double_quant": false,
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+ "llm_int8_enable_fp32_cpu_offload": false,
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+ "llm_int8_has_fp16_weight": false,
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+ "llm_int8_skip_modules": null,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": true,
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+ "load_in_8bit": false,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }