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two_agent_2_rdpo_iter_3
YYYYYYibo/two_agent_2_rdpo_iter_3
two_agent_2_rdpo_iter_3 is a machine learning model from YYYYYYibo. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- mistral
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 8, 2024
- SHA
- 355b8bfb
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
two_agent_2_rdpo_iter_3
This model is a fine-tuned version of model/two_agent_2_rdpo_iter_2 on the updated and the original datasets.
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 5
- gradient_accumulation_steps: 13
- total_train_batch_size: 130
- total_eval_batch_size: 10
- 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 4.38.2
- Pytorch 2.3.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
- Type
- mistral
- Created
- Aug 7, 2024
- Updated
- Aug 8, 2024