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TAUR-dev/
M-0903_rl_reflect__1a_1epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl

Name: M-0903_rl_reflect__1a_1epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl
Availability: InStock

safetensors

qwen2

mit

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M-0903_rl_reflect__1a_1epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl

Model Details

Training Method: VeRL Reinforcement Learning (RL)
Stage Name: rl
Experiment: 0903_rl_reflect__1a_1epoch_3args__grpo_minibs32_lr1e-6_rollout16
RL Framework: VeRL (Versatile Reinforcement Learning)

Training Configuration

Experiment Tracking

🔗 View complete experiment details: https://huggingface.co/datasets/TAUR-dev/D-ExpTracker__0903_rl_reflect__1a_1epoch_3args__grpo_minibs32_lr1e-6_rollout16__v1

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TAUR-dev/M-0903_rl_reflect__1a_1epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl")
model = AutoModelForCausalLM.from_pretrained("TAUR-dev/M-0903_rl_reflect__1a_1epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl")