上传 README.md

README.md

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+---
+base_model: Sunshine279/gammaPO-llama-3-8b-instruct
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- princeton-nlp/llama3-ultrafeedback-armorm
+model-index:
+- name: Sunshine279/gammaPO-llama-3-8b-instruct
+  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"/>](None)
+# llama-3-8b-it-gmsimpo-beta10-gm0.4-tau10-lr1e-6
+
+This model is a fine-tuned version of [Sunshine279/gammaPO-llama-3-8b-instruct](https://huggingface.co/Sunshine279/gammaPO-llama-3-8b-instruct) on the princeton-nlp/llama3-ultrafeedback-armorm dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1389
+- Rewards/chosen: -20.8453
+- Rewards/rejected: -29.4063
+- Rewards/accuracies: 0.8679
+- Rewards/margins: 8.5610
+- Logps/rejected: -2.9406
+- Logps/chosen: -2.0845
+- Logits/rejected: -1.7197
+- Logits/chosen: -1.7101
+
+## 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: 1e-06
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 1.1544        | 0.8550 | 400  | 1.1389          | -20.8453       | -29.4063         | 0.8679             | 8.5610          | -2.9406        | -2.0845      | -1.7197         | -1.7101       |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1