End of training

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README.md

@@ -0,0 +1,77 @@
+---
+library_name: transformers
+base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
+tags:
+- alignment-handbook
+- cpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: llama-3-8b-base-cpo-ultrafeedback-4xh200-batch-128
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# llama-3-8b-base-cpo-ultrafeedback-4xh200-batch-128
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 2.0330
+- Rewards/chosen: -2.7266
+- Rewards/rejected: -2.6680
+- Rewards/accuracies: 0.5160
+- Rewards/margins: -0.0586
+- Logps/rejected: -266.8027
+- Logps/chosen: -272.6577
+- Logits/rejected: -0.7176
+- Logits/chosen: -0.7199
+- Nll Loss: 0.9493
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|
+| 17.0014       | 0.4188 | 200  | 2.0831          | -2.7051        | -2.5590          | 0.5020             | -0.1461         | -255.9008      | -270.5104    | -0.6742         | -0.6767       | 0.9401   |
+| 16.5359       | 0.8377 | 400  | 2.0330          | -2.7266        | -2.6680          | 0.5160             | -0.0586         | -266.8027      | -272.6577    | -0.7176         | -0.7199       | 0.9493   |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4

all_results.json

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+    "epoch": 0.9989528795811519,
+    "eval_logits/chosen": -0.7155267000198364,
+    "eval_logits/rejected": -0.7125465869903564,
+    "eval_logps/chosen": -272.6193542480469,
+    "eval_logps/rejected": -267.1548767089844,
+    "eval_loss": 2.030885934829712,
+    "eval_nll_loss": 0.9492784738540649,
+    "eval_rewards/accuracies": 0.5180000066757202,
+    "eval_rewards/chosen": -2.7261929512023926,
+    "eval_rewards/margins": -0.05464465916156769,
+    "eval_rewards/rejected": -2.67154860496521,
+    "eval_runtime": 40.4909,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 49.394,
+    "eval_steps_per_second": 3.087,
+    "total_flos": 0.0,
+    "train_loss": 17.025300079921507,
+    "train_runtime": 4689.5603,
+    "train_samples": 61135,
+    "train_samples_per_second": 13.036,
+    "train_steps_per_second": 0.102
+}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

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+    "eval_logits/chosen": -0.7155267000198364,
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+    "eval_logps/rejected": -267.1548767089844,
+    "eval_loss": 2.030885934829712,
+    "eval_nll_loss": 0.9492784738540649,
+    "eval_rewards/accuracies": 0.5180000066757202,
+    "eval_rewards/chosen": -2.7261929512023926,
+    "eval_rewards/margins": -0.05464465916156769,
+    "eval_rewards/rejected": -2.67154860496521,
+    "eval_runtime": 40.4909,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 49.394,
+    "eval_steps_per_second": 3.087
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.51.0"
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train_results.json

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