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llama-3-8b-base-margin-dpo-ultrafeedback-8xh200

Text Generation
Transformers
Safetensors
llama
alignment-handbook
margin-dpo
Generated from Trainer
conversational
text-generation-inference
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seanyhan W-61 commited on
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Duplicate from W-61/llama-3-8b-base-margin-dpo-ultrafeedback-8xh200

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  1. .gitattributes +36 -0
  2. README.md +76 -0
  3. all_results.json +22 -0
  4. config.json +29 -0
  5. eval_results.json +16 -0
  6. generation_config.json +9 -0
  7. margin_logs/margins.jsonl +0 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
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+ tags:
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+ - alignment-handbook
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+ - margin-dpo
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+ - generated_from_trainer
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+ datasets:
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+ - HuggingFaceH4/ultrafeedback_binarized
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+ model-index:
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+ - name: llama-3-8b-base-margin-dpo-ultrafeedback-8xh200-20260410-155037
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # llama-3-8b-base-margin-dpo-ultrafeedback-8xh200-20260410-155037
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+
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+ This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5358
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+ - Margin Dpo/margin Mean: 72.1584
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+ - Margin Dpo/margin Std: 96.1592
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+ - Logps/chosen: -403.2485
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+ - Logps/rejected: -474.8625
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+ - Logps/ref Chosen: -280.7076
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+ - Logps/ref Rejected: -280.1632
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+ - Logits/chosen: -0.8223
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+ - Logits/rejected: -0.8121
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-07
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 64
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
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+ |:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
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+ | 1.0912 | 0.4188 | 200 | 0.5626 | 60.1408 | 83.6690 | -374.4195 | -434.0159 | -280.7076 | -280.1632 | -0.8522 | -0.8391 |
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+ | 1.1088 | 0.8377 | 400 | 0.5358 | 72.1584 | 96.1592 | -403.2485 | -474.8625 | -280.7076 | -280.1632 | -0.8223 | -0.8121 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.21.4
all_results.json ADDED
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+ {
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+ "epoch": 0.9989528795811519,
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+ "eval_logits/chosen": -0.843854546546936,
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+ "eval_logits/rejected": -0.8338058590888977,
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+ "eval_logps/chosen": -410.1976013183594,
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+ "eval_logps/ref_chosen": -280.7076110839844,
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+ "eval_logps/ref_rejected": -280.1632385253906,
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+ "eval_logps/rejected": -484.2484130859375,
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+ "eval_loss": 0.5346022844314575,
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+ "eval_margin_dpo/margin_mean": 74.59521484375,
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+ "eval_margin_dpo/margin_std": 98.45130157470703,
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+ "eval_runtime": 50.8318,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 39.345,
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+ "eval_steps_per_second": 0.63,
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+ "total_flos": 0.0,
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+ "train_loss": 1.1476524381017785,
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+ "train_runtime": 4456.6592,
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+ "train_samples": 61135,
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+ "train_samples_per_second": 13.718,
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+ "train_steps_per_second": 0.107
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+ }
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+ {
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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": 128000,
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+ "eos_token_id": 128001,
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+ "head_dim": 128,
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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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+ "max_position_embeddings": 8192,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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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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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.51.0",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
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+ {
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+ "epoch": 0.9989528795811519,
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+ "eval_logits/rejected": -0.8338058590888977,
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+ "eval_logps/ref_chosen": -280.7076110839844,
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+ "eval_logps/ref_rejected": -280.1632385253906,
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+ "eval_logps/rejected": -484.2484130859375,
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+ "eval_loss": 0.5346022844314575,
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+ "eval_margin_dpo/margin_mean": 74.59521484375,
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+ "eval_margin_dpo/margin_std": 98.45130157470703,
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+ "eval_runtime": 50.8318,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 39.345,
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+ "eval_steps_per_second": 0.63
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+ }
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+ "do_sample": true,
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+ "max_length": 4096,
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+ "temperature": 0.6,
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+ "top_p": 0.9,
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+ "transformers_version": "4.51.0"
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+ }
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