just1nseo commited on
Commit
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End of training

Browse files
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: alignment-handbook/zephyr-7b-sft-full
 
 
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  model-index:
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  - name: zephyr-dpop-qlora-uf-5e-7-real
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  results: []
@@ -16,22 +19,22 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-dpop-qlora-uf-5e-7-real
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- This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6811
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- - Positive Losses: 0.1287
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- - Dpo Losses: 0.6627
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- - Rewards/chosen: 0.1640
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  - Rewards/rejected: 0.0983
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- - Rewards/accuracies: 0.7202
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  - Rewards/margins: 0.0657
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- - Rewards/margins Max: 0.2509
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- - Rewards/margins Min: -0.1025
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- - Rewards/margins Std: 0.1169
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- - Logps/rejected: -252.3186
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- - Logps/chosen: -268.0970
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- - Logits/rejected: -2.7445
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- - Logits/chosen: -2.7830
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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: alignment-handbook/zephyr-7b-sft-full
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+ datasets:
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+ - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
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  - name: zephyr-dpop-qlora-uf-5e-7-real
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  results: []
 
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  # zephyr-dpop-qlora-uf-5e-7-real
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6811
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+ - Positive Losses: 0.1281
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+ - Dpo Losses: 0.6626
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+ - Rewards/chosen: 0.1641
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  - Rewards/rejected: 0.0983
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+ - Rewards/accuracies: 0.7262
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  - Rewards/margins: 0.0657
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+ - Rewards/margins Max: 0.2505
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+ - Rewards/margins Min: -0.1023
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+ - Rewards/margins Std: 0.1168
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+ - Logps/rejected: -252.3152
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+ - Logps/chosen: -268.0898
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+ - Logits/rejected: -2.7475
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+ - Logits/chosen: -2.7856
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,23 @@
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  {
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  "epoch": 1.0,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.6809778677109991,
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  "train_runtime": 43303.5615,
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  "train_samples": 61134,
 
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  {
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  "epoch": 1.0,
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+ "eval_dpo_losses": 0.6626402139663696,
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+ "eval_logits/chosen": -2.78564453125,
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+ "eval_loss": 0.6810576319694519,
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+ "eval_positive_losses": 0.1281057745218277,
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+ "eval_rewards/accuracies": 0.726190447807312,
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+ "eval_rewards/chosen": 0.16405092179775238,
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+ "eval_rewards/margins": 0.06570956110954285,
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+ "eval_rewards/margins_max": 0.2505451738834381,
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+ "eval_rewards/margins_min": -0.10226902365684509,
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+ "eval_rewards/rejected": 0.09834136068820953,
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+ "eval_runtime": 388.0843,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 5.154,
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+ "eval_steps_per_second": 0.162,
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  "train_loss": 0.6809778677109991,
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  "train_runtime": 43303.5615,
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  "train_samples": 61134,
config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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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": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 8,
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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_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_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_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.39.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
eval_results.json ADDED
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+ {
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+ "eval_logits/chosen": -2.78564453125,
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+ "eval_positive_losses": 0.1281057745218277,
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+ "eval_rewards/accuracies": 0.726190447807312,
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+ "eval_rewards/chosen": 0.16405092179775238,
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+ "eval_rewards/rejected": 0.09834136068820953,
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+ "eval_runtime": 388.0843,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 5.154,
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+ "eval_steps_per_second": 0.162
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+ }
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