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Model: ShenaoZhang/0.001_idpo_iter_2
Source: Original Platform

README.md

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+---
+license: mit
+base_model: ShenaoZhang/0.001_idpo_iter_1
+tags:
+- alignment-handbook
+- generated_from_trainer
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- ShenaoZhang/0.001_idpo_dataset
+model-index:
+- name: 0.001_idpo_iter_2
+  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. -->
+
+# 0.001_idpo_iter_2
+
+This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_iter_1](https://huggingface.co/ShenaoZhang/0.001_idpo_iter_1) on the ShenaoZhang/0.001_idpo_dataset dataset.
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- 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
+
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2