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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: mistralai/Mistral-7B-v0.1
 
 
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  model-index:
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  - name: zephyr-7b-dpo-qlora
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  results: []
@@ -16,17 +19,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-dpo-qlora
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- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4864
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- - Rewards/chosen: -2.8126
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  - Rewards/rejected: -3.9101
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  - Rewards/accuracies: 0.7395
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- - Rewards/margins: 1.0975
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- - Logps/rejected: -635.6184
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- - Logps/chosen: -545.9131
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- - Logits/rejected: -1.1317
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- - Logits/chosen: -1.2524
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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: mistralai/Mistral-7B-v0.1
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+ datasets:
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+ - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
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  - name: zephyr-7b-dpo-qlora
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  results: []
 
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  # zephyr-7b-dpo-qlora
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4863
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+ - Rewards/chosen: -2.8122
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  - Rewards/rejected: -3.9101
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  - Rewards/accuracies: 0.7395
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+ - Rewards/margins: 1.0979
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+ - Logps/rejected: -635.6185
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+ - Logps/chosen: -545.8760
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+ - Logits/rejected: -1.1318
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+ - Logits/chosen: -1.2525
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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": 1.0,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.5238101308459981,
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  "train_runtime": 42749.2467,
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  "train_samples": 61134,
 
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  {
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  "epoch": 1.0,
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+ "eval_loss": 0.4863443076610565,
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+ "eval_rewards/accuracies": 0.7394999861717224,
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+ "eval_rewards/chosen": -2.812239646911621,
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+ "eval_rewards/rejected": -3.9100985527038574,
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+ "eval_runtime": 384.8212,
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+ "eval_samples": 2000,
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+ "eval_steps_per_second": 0.65,
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  "train_loss": 0.5238101308459981,
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  "train_runtime": 42749.2467,
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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": "mistralai/Mistral-7B-v0.1",
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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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+ "hidden_act": "silu",
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 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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+ "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_samples_per_second": 5.197,
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+ "eval_steps_per_second": 0.65
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+ }
runs/Apr05_17-15-39_gpu-1/events.out.tfevents.1712348188.gpu-1.1152924.1 ADDED
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