Instructions to use NTQuoc/OpenRS-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTQuoc/OpenRS-GRPO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NTQuoc/OpenRS-GRPO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +2 -4
- all_results.json +4 -4
- step_metrics.csv +101 -2
- train_results.json +4 -4
- trainer_state.json +1302 -15
- training_metrics.txt +6 -6
README.md
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---
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base_model:
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datasets: knoveleng/open-rs
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library_name: transformers
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model_name: OpenRS-GRPO
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tags:
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- generated_from_trainer
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- open-r1
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- trl
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- grpo
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licence: license
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# Model Card for OpenRS-GRPO
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This model is a fine-tuned version of [
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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---
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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library_name: transformers
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model_name: OpenRS-GRPO
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tags:
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- generated_from_trainer
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- trl
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- grpo
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licence: license
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# Model Card for OpenRS-GRPO
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This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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all_results.json
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{
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"total_flos": 0.0,
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"train_loss":
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"train_runtime":
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"train_samples": 7000,
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"train_samples_per_second": 0.
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"train_steps_per_second": 0.
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}
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{
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"total_flos": 0.0,
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"train_loss": 0.0013520326372236013,
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"train_runtime": 36067.9715,
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"train_samples": 7000,
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"train_samples_per_second": 0.044,
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"train_steps_per_second": 0.003
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}
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step_metrics.csv
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step,epoch,loss,learning_rate,grad_norm,rewards/format_reward,rewards/cosine_scaled_reward,reward,reward_std,gpu_mem_alloc_mb,gpu_mem_peak_mb,step_time_sec
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1,0.0006,
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| 102 |
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train_results.json
CHANGED
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@@ -1,8 +1,8 @@
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| 8 |
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trainer_state.json
CHANGED
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|
| 28 |
"total_flos": 0.0,
|
| 29 |
-
"train_loss":
|
| 30 |
-
"train_runtime":
|
| 31 |
-
"train_samples_per_second": 0.
|
| 32 |
-
"train_steps_per_second": 0.
|
| 33 |
}
|
| 34 |
],
|
| 35 |
"logging_steps": 1,
|
| 36 |
-
"max_steps":
|
| 37 |
"num_input_tokens_seen": 0,
|
| 38 |
"num_train_epochs": 1,
|
| 39 |
"save_steps": 50,
|
|
@@ -50,7 +1337,7 @@
|
|
| 50 |
}
|
| 51 |
},
|
| 52 |
"total_flos": 0.0,
|
| 53 |
-
"train_batch_size":
|
| 54 |
"trial_name": null,
|
| 55 |
"trial_params": null
|
| 56 |
}
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.05714285714285714,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 100,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
| 14 |
+
"completion_length": 1024.0,
|
| 15 |
"epoch": 0.0005714285714285715,
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 0.0,
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"train_steps_per_second": 0.003
|
| 1320 |
}
|
| 1321 |
],
|
| 1322 |
"logging_steps": 1,
|
| 1323 |
+
"max_steps": 100,
|
| 1324 |
"num_input_tokens_seen": 0,
|
| 1325 |
"num_train_epochs": 1,
|
| 1326 |
"save_steps": 50,
|
|
|
|
| 1337 |
}
|
| 1338 |
},
|
| 1339 |
"total_flos": 0.0,
|
| 1340 |
+
"train_batch_size": 2,
|
| 1341 |
"trial_name": null,
|
| 1342 |
"trial_params": null
|
| 1343 |
}
|
training_metrics.txt
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
-
total_size_before (MB):
|
| 2 |
-
total_size_after (MB):
|
| 3 |
-
total_time (seconds):
|
| 4 |
-
ram_peak (MB):
|
| 5 |
-
ram_consump (MB):
|
| 6 |
-
disk_storage (MB):
|
|
|
|
| 1 |
+
total_size_before (MB): 3424.75
|
| 2 |
+
total_size_after (MB): 3407.14
|
| 3 |
+
total_time (seconds): 36073.19
|
| 4 |
+
ram_peak (MB): 5853.69
|
| 5 |
+
ram_consump (MB): 3485.15
|
| 6 |
+
disk_storage (MB): 333.13
|