Comments (1)
We did not rename the Trainer because one version of our code has already been integrated into trl library under DPOTrainer with the loss_type "sppo_hard."
In our code, we specify the loss_type as "sppo" to represent SPPO loss.
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Related Issues (17)
- Is it possible to run llama 3-70B and/or mixtral 8x22b through this process? HOT 1
- ConnectionError: Couldn't reach 'synthetic_data_llama-3-8b-instruct-sppo-iter3_score' on the Hub (ConnectionError) HOT 2
- Suggestion: Gemma 2 9B and 27B. HOT 2
- ShareGPT appending
- Which version of vllm should be installed HOT 4
- Some packages' version are too old
- Is it normal the pipeline start with a huge loss ? HOT 3
- Ranking speed & training hyperparameters
- Dataset used and results in Gemma-2-9B results HOT 13
- Any chance it work on my homelab? HOT 3
- What's the package configuration for reproduce SPPO-Gemma-2? HOT 1
- Scores and probability calcuations HOT 3
- Adaptation for 4-bit Quantization Training/Responses Generation (with 2 Home GPUs) HOT 1
- SPPO Implementation on Axolotl!
- DPO baseline implementation
- Typo here HOT 1
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