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README.md

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+---
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- alignment_handbook-handbook
+- generated_from_trainer
+datasets:
+- princeton-nlp/llama3-ultrafeedback
+model-index:
+- name: LLama-8B-Instruct-v0.1-MI-2e-5
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tengxiao01/huggingface/runs/biqlfgyz)
+# LLama-8B-Instruct-v0.1-MI-2e-5
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2552
+- Rewards/chosen: -0.5792
+- Rewards/rejected: -0.7270
+- Rewards/accuracies: 0.6626
+- Rewards/margins: 0.1478
+- Logps/rejected: -0.7270
+- Logps/chosen: -0.5792
+- Logits/rejected: -0.3939
+- Logits/chosen: -0.3830
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 1.2571        | 0.8550 | 400  | 1.2552          | -0.5792        | -0.7270          | 0.6626             | 0.1478          | -0.7270        | -0.5792      | -0.3939         | -0.3830       |
+
+
+### Framework versions
+
+- Transformers 4.42.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.9982631930527722,
+    "eval_logits/chosen": -0.3633301258087158,
+    "eval_logits/rejected": -0.37627702951431274,
+    "eval_logps/chosen": -0.5874707102775574,
+    "eval_logps/rejected": -0.7501260638237,
+    "eval_loss": 1.2528961896896362,
+    "eval_rewards/accuracies": 0.672764241695404,
+    "eval_rewards/chosen": -0.5874707102775574,
+    "eval_rewards/margins": 0.16265536844730377,
+    "eval_rewards/rejected": -0.7501260638237,
+    "eval_runtime": 421.6929,
+    "eval_samples": 1961,
+    "eval_samples_per_second": 4.65,
+    "eval_steps_per_second": 0.292,
+    "total_flos": 0.0,
+    "train_loss": 1.2796013329728513,
+    "train_runtime": 21025.6961,
+    "train_samples": 59876,
+    "train_samples_per_second": 2.848,
+    "train_steps_per_second": 0.022
+}

config.json

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+{
+  "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "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": "bfloat16",
+  "transformers_version": "4.42.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

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+{
+    "epoch": 0.9982631930527722,
+    "eval_logits/chosen": -0.3633301258087158,
+    "eval_logits/rejected": -0.37627702951431274,
+    "eval_logps/chosen": -0.5874707102775574,
+    "eval_logps/rejected": -0.7501260638237,
+    "eval_loss": 1.2528961896896362,
+    "eval_rewards/accuracies": 0.672764241695404,
+    "eval_rewards/chosen": -0.5874707102775574,
+    "eval_rewards/margins": 0.16265536844730377,
+    "eval_rewards/rejected": -0.7501260638237,
+    "eval_runtime": 421.6929,
+    "eval_samples": 1961,
+    "eval_samples_per_second": 4.65,
+    "eval_steps_per_second": 0.292
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.42.0"
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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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