Text Generation
Transformers
Safetensors
qwen2
Generated from Trainer
trl
grpo
conversational
text-generation-inference
Instructions to use RyanFan/RLVR-pmdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyanFan/RLVR-pmdata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RyanFan/RLVR-pmdata") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RyanFan/RLVR-pmdata") model = AutoModelForCausalLM.from_pretrained("RyanFan/RLVR-pmdata", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use RyanFan/RLVR-pmdata with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RyanFan/RLVR-pmdata" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RyanFan/RLVR-pmdata", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/RyanFan/RLVR-pmdata
- SGLang
How to use RyanFan/RLVR-pmdata with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "RyanFan/RLVR-pmdata" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RyanFan/RLVR-pmdata", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "RyanFan/RLVR-pmdata" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RyanFan/RLVR-pmdata", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use RyanFan/RLVR-pmdata with Docker Model Runner:
docker model run hf.co/RyanFan/RLVR-pmdata
Model save
Browse files- README.md +1 -1
- model.safetensors +1 -1
- trainer_state.json +158 -158
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -27,7 +27,7 @@ print(output["generated_text"])
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
|
| 30 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ryanzhang123-the-university-of-auckland/RLCR/runs/
|
| 31 |
|
| 32 |
|
| 33 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
|
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ryanzhang123-the-university-of-auckland/RLCR/runs/7uoij859)
|
| 31 |
|
| 32 |
|
| 33 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3554214752
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5cbb52a1207ba56f8b0e8fe6458e0e811a1a2e6ecb80ef1af9e299fd57178083
|
| 3 |
size 3554214752
|
trainer_state.json
CHANGED
|
@@ -1055,24 +1055,24 @@
|
|
| 1055 |
"clip_ratio/low_mean": 0.0,
|
| 1056 |
"clip_ratio/low_min": 0.0,
|
| 1057 |
"clip_ratio/region_mean": 0.0,
|
| 1058 |
-
"completions/clipped_ratio": 0.
|
| 1059 |
-
"completions/max_length":
|
| 1060 |
-
"completions/max_terminated_length":
|
| 1061 |
-
"completions/mean_length":
|
| 1062 |
-
"completions/mean_terminated_length":
|
| 1063 |
-
"completions/min_length":
|
| 1064 |
-
"completions/min_terminated_length":
|
| 1065 |
"epoch": 2.399355877616747,
|
| 1066 |
-
"grad_norm": 0.
|
| 1067 |
"learning_rate": 1e-06,
|
| 1068 |
-
"loss": 0.
|
| 1069 |
-
"num_tokens":
|
| 1070 |
-
"reward": 0.
|
| 1071 |
-
"reward_std": 0.
|
| 1072 |
-
"rewards/accuracy_reward": 0.
|
| 1073 |
"rewards/brier_reward": 0.0,
|
| 1074 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1075 |
-
"rewards/format_reward": 0.
|
| 1076 |
"rewards/mean_confidence_reward": 0.0,
|
| 1077 |
"step": 185
|
| 1078 |
},
|
|
@@ -1082,24 +1082,24 @@
|
|
| 1082 |
"clip_ratio/low_mean": 0.0,
|
| 1083 |
"clip_ratio/low_min": 0.0,
|
| 1084 |
"clip_ratio/region_mean": 0.0,
|
| 1085 |
-
"completions/clipped_ratio": 0.
|
| 1086 |
-
"completions/max_length":
|
| 1087 |
-
"completions/max_terminated_length":
|
| 1088 |
-
"completions/mean_length":
|
| 1089 |
-
"completions/mean_terminated_length":
|
| 1090 |
-
"completions/min_length":
|
| 1091 |
-
"completions/min_terminated_length":
|
| 1092 |
"epoch": 2.463768115942029,
|
| 1093 |
-
"grad_norm": 0.
|
| 1094 |
"learning_rate": 1e-06,
|
| 1095 |
-
"loss": 0.
|
| 1096 |
-
"num_tokens":
|
| 1097 |
-
"reward": 0.
|
| 1098 |
-
"reward_std": 0.
|
| 1099 |
-
"rewards/accuracy_reward": 0.
|
| 1100 |
"rewards/brier_reward": 0.0,
|
| 1101 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1102 |
-
"rewards/format_reward": 0.
|
| 1103 |
"rewards/mean_confidence_reward": 0.0,
|
| 1104 |
"step": 190
|
| 1105 |
},
|
|
@@ -1109,24 +1109,24 @@
|
|
| 1109 |
"clip_ratio/low_mean": 0.0,
|
| 1110 |
"clip_ratio/low_min": 0.0,
|
| 1111 |
"clip_ratio/region_mean": 0.0,
|
| 1112 |
-
"completions/clipped_ratio": 0.
|
| 1113 |
-
"completions/max_length":
|
| 1114 |
-
"completions/max_terminated_length":
|
| 1115 |
-
"completions/mean_length":
|
| 1116 |
-
"completions/mean_terminated_length":
|
| 1117 |
-
"completions/min_length": 16.
|
| 1118 |
-
"completions/min_terminated_length": 16.
|
| 1119 |
"epoch": 2.528180354267311,
|
| 1120 |
-
"grad_norm": 0.
|
| 1121 |
"learning_rate": 1e-06,
|
| 1122 |
-
"loss": 0.
|
| 1123 |
-
"num_tokens":
|
| 1124 |
-
"reward": 0.
|
| 1125 |
-
"reward_std": 0.
|
| 1126 |
-
"rewards/accuracy_reward": 0.
|
| 1127 |
"rewards/brier_reward": 0.0,
|
| 1128 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1129 |
-
"rewards/format_reward": 0.
|
| 1130 |
"rewards/mean_confidence_reward": 0.0,
|
| 1131 |
"step": 195
|
| 1132 |
},
|
|
@@ -1136,48 +1136,48 @@
|
|
| 1136 |
"clip_ratio/low_mean": 0.0,
|
| 1137 |
"clip_ratio/low_min": 0.0,
|
| 1138 |
"clip_ratio/region_mean": 0.0,
|
| 1139 |
-
"completions/clipped_ratio": 0.
|
| 1140 |
-
"completions/max_length":
|
| 1141 |
-
"completions/max_terminated_length":
|
| 1142 |
-
"completions/mean_length":
|
| 1143 |
-
"completions/mean_terminated_length":
|
| 1144 |
-
"completions/min_length": 16.
|
| 1145 |
-
"completions/min_terminated_length": 16.
|
| 1146 |
"epoch": 2.5925925925925926,
|
| 1147 |
-
"grad_norm": 0.
|
| 1148 |
"learning_rate": 1e-06,
|
| 1149 |
-
"loss": 0.
|
| 1150 |
-
"num_tokens":
|
| 1151 |
-
"reward": 0.
|
| 1152 |
-
"reward_std": 0.
|
| 1153 |
-
"rewards/accuracy_reward": 0.
|
| 1154 |
"rewards/brier_reward": 0.0,
|
| 1155 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1156 |
-
"rewards/format_reward":
|
| 1157 |
"rewards/mean_confidence_reward": 0.0,
|
| 1158 |
"step": 200
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 2.5925925925925926,
|
| 1162 |
-
"eval_completions/clipped_ratio": 0.
|
| 1163 |
-
"eval_completions/max_length":
|
| 1164 |
-
"eval_completions/max_terminated_length":
|
| 1165 |
-
"eval_completions/mean_length":
|
| 1166 |
-
"eval_completions/mean_terminated_length":
|
| 1167 |
-
"eval_completions/min_length":
|
| 1168 |
-
"eval_completions/min_terminated_length":
|
| 1169 |
"eval_loss": 0.0,
|
| 1170 |
-
"eval_num_tokens":
|
| 1171 |
-
"eval_reward": 0.
|
| 1172 |
-
"eval_reward_std": 0.
|
| 1173 |
-
"eval_rewards/accuracy_reward": 0.
|
| 1174 |
"eval_rewards/brier_reward": 0.0,
|
| 1175 |
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 1176 |
-
"eval_rewards/format_reward": 0.
|
| 1177 |
"eval_rewards/mean_confidence_reward": 0.0,
|
| 1178 |
-
"eval_runtime":
|
| 1179 |
-
"eval_samples_per_second":
|
| 1180 |
-
"eval_steps_per_second": 0.
|
| 1181 |
"step": 200
|
| 1182 |
},
|
| 1183 |
{
|
|
@@ -1186,21 +1186,21 @@
|
|
| 1186 |
"clip_ratio/low_mean": 0.0,
|
| 1187 |
"clip_ratio/low_min": 0.0,
|
| 1188 |
"clip_ratio/region_mean": 0.0,
|
| 1189 |
-
"completions/clipped_ratio": 0.
|
| 1190 |
-
"completions/max_length":
|
| 1191 |
-
"completions/max_terminated_length":
|
| 1192 |
-
"completions/mean_length":
|
| 1193 |
-
"completions/mean_terminated_length":
|
| 1194 |
-
"completions/min_length":
|
| 1195 |
-
"completions/min_terminated_length":
|
| 1196 |
"epoch": 2.6570048309178746,
|
| 1197 |
-
"grad_norm": 0.
|
| 1198 |
"learning_rate": 1e-06,
|
| 1199 |
-
"loss": 0.
|
| 1200 |
-
"num_tokens":
|
| 1201 |
-
"reward": 0.
|
| 1202 |
-
"reward_std": 0.
|
| 1203 |
-
"rewards/accuracy_reward": 0.
|
| 1204 |
"rewards/brier_reward": 0.0,
|
| 1205 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1206 |
"rewards/format_reward": 0.9984375,
|
|
@@ -1213,24 +1213,24 @@
|
|
| 1213 |
"clip_ratio/low_mean": 0.0,
|
| 1214 |
"clip_ratio/low_min": 0.0,
|
| 1215 |
"clip_ratio/region_mean": 0.0,
|
| 1216 |
-
"completions/clipped_ratio": 0.
|
| 1217 |
-
"completions/max_length":
|
| 1218 |
-
"completions/max_terminated_length":
|
| 1219 |
-
"completions/mean_length":
|
| 1220 |
-
"completions/mean_terminated_length":
|
| 1221 |
-
"completions/min_length": 16.
|
| 1222 |
-
"completions/min_terminated_length": 16.
|
| 1223 |
"epoch": 2.7214170692431563,
|
| 1224 |
-
"grad_norm": 0.
|
| 1225 |
"learning_rate": 1e-06,
|
| 1226 |
-
"loss": 0.
|
| 1227 |
-
"num_tokens":
|
| 1228 |
-
"reward": 0.
|
| 1229 |
-
"reward_std": 0.
|
| 1230 |
-
"rewards/accuracy_reward": 0.
|
| 1231 |
"rewards/brier_reward": 0.0,
|
| 1232 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1233 |
-
"rewards/format_reward":
|
| 1234 |
"rewards/mean_confidence_reward": 0.0,
|
| 1235 |
"step": 210
|
| 1236 |
},
|
|
@@ -1240,24 +1240,24 @@
|
|
| 1240 |
"clip_ratio/low_mean": 0.0,
|
| 1241 |
"clip_ratio/low_min": 0.0,
|
| 1242 |
"clip_ratio/region_mean": 0.0,
|
| 1243 |
-
"completions/clipped_ratio": 0.
|
| 1244 |
-
"completions/max_length":
|
| 1245 |
-
"completions/max_terminated_length":
|
| 1246 |
-
"completions/mean_length":
|
| 1247 |
-
"completions/mean_terminated_length":
|
| 1248 |
-
"completions/min_length":
|
| 1249 |
-
"completions/min_terminated_length":
|
| 1250 |
"epoch": 2.785829307568438,
|
| 1251 |
-
"grad_norm": 0.
|
| 1252 |
"learning_rate": 1e-06,
|
| 1253 |
-
"loss": 0.
|
| 1254 |
-
"num_tokens":
|
| 1255 |
-
"reward": 0.
|
| 1256 |
-
"reward_std": 0.
|
| 1257 |
-
"rewards/accuracy_reward": 0.
|
| 1258 |
"rewards/brier_reward": 0.0,
|
| 1259 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1260 |
-
"rewards/format_reward":
|
| 1261 |
"rewards/mean_confidence_reward": 0.0,
|
| 1262 |
"step": 215
|
| 1263 |
},
|
|
@@ -1267,24 +1267,24 @@
|
|
| 1267 |
"clip_ratio/low_mean": 0.0,
|
| 1268 |
"clip_ratio/low_min": 0.0,
|
| 1269 |
"clip_ratio/region_mean": 0.0,
|
| 1270 |
-
"completions/clipped_ratio": 0.
|
| 1271 |
-
"completions/max_length":
|
| 1272 |
-
"completions/max_terminated_length":
|
| 1273 |
-
"completions/mean_length":
|
| 1274 |
-
"completions/mean_terminated_length":
|
| 1275 |
-
"completions/min_length": 16.
|
| 1276 |
-
"completions/min_terminated_length": 16.
|
| 1277 |
"epoch": 2.85024154589372,
|
| 1278 |
-
"grad_norm": 0.
|
| 1279 |
"learning_rate": 1e-06,
|
| 1280 |
-
"loss": 0.
|
| 1281 |
-
"num_tokens":
|
| 1282 |
-
"reward": 0.
|
| 1283 |
-
"reward_std": 0.
|
| 1284 |
-
"rewards/accuracy_reward": 0.
|
| 1285 |
"rewards/brier_reward": 0.0,
|
| 1286 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1287 |
-
"rewards/format_reward":
|
| 1288 |
"rewards/mean_confidence_reward": 0.0,
|
| 1289 |
"step": 220
|
| 1290 |
},
|
|
@@ -1294,24 +1294,24 @@
|
|
| 1294 |
"clip_ratio/low_mean": 0.0,
|
| 1295 |
"clip_ratio/low_min": 0.0,
|
| 1296 |
"clip_ratio/region_mean": 0.0,
|
| 1297 |
-
"completions/clipped_ratio": 0.
|
| 1298 |
-
"completions/max_length":
|
| 1299 |
-
"completions/max_terminated_length":
|
| 1300 |
-
"completions/mean_length":
|
| 1301 |
-
"completions/mean_terminated_length":
|
| 1302 |
-
"completions/min_length": 16.
|
| 1303 |
-
"completions/min_terminated_length": 16.
|
| 1304 |
"epoch": 2.9146537842190017,
|
| 1305 |
"grad_norm": 0.0,
|
| 1306 |
"learning_rate": 1e-06,
|
| 1307 |
-
"loss": 0.
|
| 1308 |
-
"num_tokens":
|
| 1309 |
-
"reward": 0.
|
| 1310 |
-
"reward_std": 0.
|
| 1311 |
-
"rewards/accuracy_reward": 0.
|
| 1312 |
"rewards/brier_reward": 0.0,
|
| 1313 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1314 |
-
"rewards/format_reward":
|
| 1315 |
"rewards/mean_confidence_reward": 0.0,
|
| 1316 |
"step": 225
|
| 1317 |
},
|
|
@@ -1321,24 +1321,24 @@
|
|
| 1321 |
"clip_ratio/low_mean": 0.0,
|
| 1322 |
"clip_ratio/low_min": 0.0,
|
| 1323 |
"clip_ratio/region_mean": 0.0,
|
| 1324 |
-
"completions/clipped_ratio": 0.
|
| 1325 |
-
"completions/max_length":
|
| 1326 |
-
"completions/max_terminated_length":
|
| 1327 |
-
"completions/mean_length":
|
| 1328 |
-
"completions/mean_terminated_length":
|
| 1329 |
-
"completions/min_length":
|
| 1330 |
-
"completions/min_terminated_length":
|
| 1331 |
"epoch": 2.9790660225442833,
|
| 1332 |
-
"grad_norm": 0.
|
| 1333 |
"learning_rate": 1e-06,
|
| 1334 |
-
"loss": 0.
|
| 1335 |
-
"num_tokens":
|
| 1336 |
-
"reward": 0.
|
| 1337 |
-
"reward_std": 0.
|
| 1338 |
-
"rewards/accuracy_reward": 0.
|
| 1339 |
"rewards/brier_reward": 0.0,
|
| 1340 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1341 |
-
"rewards/format_reward":
|
| 1342 |
"rewards/mean_confidence_reward": 0.0,
|
| 1343 |
"step": 230
|
| 1344 |
},
|
|
@@ -1346,15 +1346,15 @@
|
|
| 1346 |
"epoch": 2.9790660225442833,
|
| 1347 |
"step": 230,
|
| 1348 |
"total_flos": 0.0,
|
| 1349 |
-
"train_loss": 0.
|
| 1350 |
-
"train_runtime":
|
| 1351 |
-
"train_samples_per_second":
|
| 1352 |
-
"train_steps_per_second": 0.
|
| 1353 |
}
|
| 1354 |
],
|
| 1355 |
"logging_steps": 5,
|
| 1356 |
"max_steps": 231,
|
| 1357 |
-
"num_input_tokens_seen":
|
| 1358 |
"num_train_epochs": 3,
|
| 1359 |
"save_steps": 60,
|
| 1360 |
"stateful_callbacks": {
|
|
|
|
| 1055 |
"clip_ratio/low_mean": 0.0,
|
| 1056 |
"clip_ratio/low_min": 0.0,
|
| 1057 |
"clip_ratio/region_mean": 0.0,
|
| 1058 |
+
"completions/clipped_ratio": 0.0078125,
|
| 1059 |
+
"completions/max_length": 1392.2,
|
| 1060 |
+
"completions/max_terminated_length": 805.2,
|
| 1061 |
+
"completions/mean_length": 115.64375,
|
| 1062 |
+
"completions/mean_terminated_length": 104.5155517578125,
|
| 1063 |
+
"completions/min_length": 18.2,
|
| 1064 |
+
"completions/min_terminated_length": 18.2,
|
| 1065 |
"epoch": 2.399355877616747,
|
| 1066 |
+
"grad_norm": 0.011998126283288002,
|
| 1067 |
"learning_rate": 1e-06,
|
| 1068 |
+
"loss": 0.0081,
|
| 1069 |
+
"num_tokens": 21064400.0,
|
| 1070 |
+
"reward": 0.59453125,
|
| 1071 |
+
"reward_std": 0.18795942664146423,
|
| 1072 |
+
"rewards/accuracy_reward": 0.1984375,
|
| 1073 |
"rewards/brier_reward": 0.0,
|
| 1074 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1075 |
+
"rewards/format_reward": 0.990625,
|
| 1076 |
"rewards/mean_confidence_reward": 0.0,
|
| 1077 |
"step": 185
|
| 1078 |
},
|
|
|
|
| 1082 |
"clip_ratio/low_mean": 0.0,
|
| 1083 |
"clip_ratio/low_min": 0.0,
|
| 1084 |
"clip_ratio/region_mean": 0.0,
|
| 1085 |
+
"completions/clipped_ratio": 0.0,
|
| 1086 |
+
"completions/max_length": 868.6,
|
| 1087 |
+
"completions/max_terminated_length": 868.6,
|
| 1088 |
+
"completions/mean_length": 99.8234375,
|
| 1089 |
+
"completions/mean_terminated_length": 99.8234375,
|
| 1090 |
+
"completions/min_length": 16.8,
|
| 1091 |
+
"completions/min_terminated_length": 16.8,
|
| 1092 |
"epoch": 2.463768115942029,
|
| 1093 |
+
"grad_norm": 0.01248540636152029,
|
| 1094 |
"learning_rate": 1e-06,
|
| 1095 |
+
"loss": 0.0108,
|
| 1096 |
+
"num_tokens": 21602655.0,
|
| 1097 |
+
"reward": 0.61171875,
|
| 1098 |
+
"reward_std": 0.19059042632579803,
|
| 1099 |
+
"rewards/accuracy_reward": 0.225,
|
| 1100 |
"rewards/brier_reward": 0.0,
|
| 1101 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1102 |
+
"rewards/format_reward": 0.9984375,
|
| 1103 |
"rewards/mean_confidence_reward": 0.0,
|
| 1104 |
"step": 190
|
| 1105 |
},
|
|
|
|
| 1109 |
"clip_ratio/low_mean": 0.0,
|
| 1110 |
"clip_ratio/low_min": 0.0,
|
| 1111 |
"clip_ratio/region_mean": 0.0,
|
| 1112 |
+
"completions/clipped_ratio": 0.0015625,
|
| 1113 |
+
"completions/max_length": 674.2,
|
| 1114 |
+
"completions/max_terminated_length": 518.6,
|
| 1115 |
+
"completions/mean_length": 41.5515625,
|
| 1116 |
+
"completions/mean_terminated_length": 39.206139373779294,
|
| 1117 |
+
"completions/min_length": 16.4,
|
| 1118 |
+
"completions/min_terminated_length": 16.4,
|
| 1119 |
"epoch": 2.528180354267311,
|
| 1120 |
+
"grad_norm": 0.01337147131562233,
|
| 1121 |
"learning_rate": 1e-06,
|
| 1122 |
+
"loss": 0.0071,
|
| 1123 |
+
"num_tokens": 22149424.0,
|
| 1124 |
+
"reward": 0.65859375,
|
| 1125 |
+
"reward_std": 0.2084730714559555,
|
| 1126 |
+
"rewards/accuracy_reward": 0.31875,
|
| 1127 |
"rewards/brier_reward": 0.0,
|
| 1128 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1129 |
+
"rewards/format_reward": 0.9984375,
|
| 1130 |
"rewards/mean_confidence_reward": 0.0,
|
| 1131 |
"step": 195
|
| 1132 |
},
|
|
|
|
| 1136 |
"clip_ratio/low_mean": 0.0,
|
| 1137 |
"clip_ratio/low_min": 0.0,
|
| 1138 |
"clip_ratio/region_mean": 0.0,
|
| 1139 |
+
"completions/clipped_ratio": 0.0,
|
| 1140 |
+
"completions/max_length": 65.8,
|
| 1141 |
+
"completions/max_terminated_length": 65.8,
|
| 1142 |
+
"completions/mean_length": 18.2390625,
|
| 1143 |
+
"completions/mean_terminated_length": 18.2390625,
|
| 1144 |
+
"completions/min_length": 16.0,
|
| 1145 |
+
"completions/min_terminated_length": 16.0,
|
| 1146 |
"epoch": 2.5925925925925926,
|
| 1147 |
+
"grad_norm": 0.012995072640478611,
|
| 1148 |
"learning_rate": 1e-06,
|
| 1149 |
+
"loss": 0.0017,
|
| 1150 |
+
"num_tokens": 22617817.0,
|
| 1151 |
+
"reward": 0.71640625,
|
| 1152 |
+
"reward_std": 0.20620474815368653,
|
| 1153 |
+
"rewards/accuracy_reward": 0.4328125,
|
| 1154 |
"rewards/brier_reward": 0.0,
|
| 1155 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1156 |
+
"rewards/format_reward": 1.0,
|
| 1157 |
"rewards/mean_confidence_reward": 0.0,
|
| 1158 |
"step": 200
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 2.5925925925925926,
|
| 1162 |
+
"eval_completions/clipped_ratio": 0.0,
|
| 1163 |
+
"eval_completions/max_length": 19.565217391304348,
|
| 1164 |
+
"eval_completions/max_terminated_length": 19.565217391304348,
|
| 1165 |
+
"eval_completions/mean_length": 17.383152173913043,
|
| 1166 |
+
"eval_completions/mean_terminated_length": 17.383152173913043,
|
| 1167 |
+
"eval_completions/min_length": 16.89855072463768,
|
| 1168 |
+
"eval_completions/min_terminated_length": 16.89855072463768,
|
| 1169 |
"eval_loss": 0.0,
|
| 1170 |
+
"eval_num_tokens": 22617817.0,
|
| 1171 |
+
"eval_reward": 0.7391304347826086,
|
| 1172 |
+
"eval_reward_std": 0.1717898635112721,
|
| 1173 |
+
"eval_rewards/accuracy_reward": 0.4791666666666667,
|
| 1174 |
"eval_rewards/brier_reward": 0.0,
|
| 1175 |
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 1176 |
+
"eval_rewards/format_reward": 0.9990942028985508,
|
| 1177 |
"eval_rewards/mean_confidence_reward": 0.0,
|
| 1178 |
+
"eval_runtime": 37.0255,
|
| 1179 |
+
"eval_samples_per_second": 3.727,
|
| 1180 |
+
"eval_steps_per_second": 0.486,
|
| 1181 |
"step": 200
|
| 1182 |
},
|
| 1183 |
{
|
|
|
|
| 1186 |
"clip_ratio/low_mean": 0.0,
|
| 1187 |
"clip_ratio/low_min": 0.0,
|
| 1188 |
"clip_ratio/region_mean": 0.0,
|
| 1189 |
+
"completions/clipped_ratio": 0.0,
|
| 1190 |
+
"completions/max_length": 145.0,
|
| 1191 |
+
"completions/max_terminated_length": 145.0,
|
| 1192 |
+
"completions/mean_length": 18.1015625,
|
| 1193 |
+
"completions/mean_terminated_length": 18.1015625,
|
| 1194 |
+
"completions/min_length": 16.0,
|
| 1195 |
+
"completions/min_terminated_length": 16.0,
|
| 1196 |
"epoch": 2.6570048309178746,
|
| 1197 |
+
"grad_norm": 0.006278031039983034,
|
| 1198 |
"learning_rate": 1e-06,
|
| 1199 |
+
"loss": 0.0015,
|
| 1200 |
+
"num_tokens": 23134698.0,
|
| 1201 |
+
"reward": 0.78046875,
|
| 1202 |
+
"reward_std": 0.14939574152231216,
|
| 1203 |
+
"rewards/accuracy_reward": 0.5625,
|
| 1204 |
"rewards/brier_reward": 0.0,
|
| 1205 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1206 |
"rewards/format_reward": 0.9984375,
|
|
|
|
| 1213 |
"clip_ratio/low_mean": 0.0,
|
| 1214 |
"clip_ratio/low_min": 0.0,
|
| 1215 |
"clip_ratio/region_mean": 0.0,
|
| 1216 |
+
"completions/clipped_ratio": 0.0,
|
| 1217 |
+
"completions/max_length": 20.2,
|
| 1218 |
+
"completions/max_terminated_length": 20.2,
|
| 1219 |
+
"completions/mean_length": 17.04375,
|
| 1220 |
+
"completions/mean_terminated_length": 17.04375,
|
| 1221 |
+
"completions/min_length": 16.2,
|
| 1222 |
+
"completions/min_terminated_length": 16.2,
|
| 1223 |
"epoch": 2.7214170692431563,
|
| 1224 |
+
"grad_norm": 0.007409343961626291,
|
| 1225 |
"learning_rate": 1e-06,
|
| 1226 |
+
"loss": 0.0002,
|
| 1227 |
+
"num_tokens": 23654262.0,
|
| 1228 |
+
"reward": 0.72890625,
|
| 1229 |
+
"reward_std": 0.049137798324227336,
|
| 1230 |
+
"rewards/accuracy_reward": 0.4578125,
|
| 1231 |
"rewards/brier_reward": 0.0,
|
| 1232 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1233 |
+
"rewards/format_reward": 1.0,
|
| 1234 |
"rewards/mean_confidence_reward": 0.0,
|
| 1235 |
"step": 210
|
| 1236 |
},
|
|
|
|
| 1240 |
"clip_ratio/low_mean": 0.0,
|
| 1241 |
"clip_ratio/low_min": 0.0,
|
| 1242 |
"clip_ratio/region_mean": 0.0,
|
| 1243 |
+
"completions/clipped_ratio": 0.0,
|
| 1244 |
+
"completions/max_length": 19.2,
|
| 1245 |
+
"completions/max_terminated_length": 19.2,
|
| 1246 |
+
"completions/mean_length": 17.01875,
|
| 1247 |
+
"completions/mean_terminated_length": 17.01875,
|
| 1248 |
+
"completions/min_length": 17.0,
|
| 1249 |
+
"completions/min_terminated_length": 17.0,
|
| 1250 |
"epoch": 2.785829307568438,
|
| 1251 |
+
"grad_norm": 0.0,
|
| 1252 |
"learning_rate": 1e-06,
|
| 1253 |
+
"loss": 0.0,
|
| 1254 |
+
"num_tokens": 24120378.0,
|
| 1255 |
+
"reward": 0.77421875,
|
| 1256 |
+
"reward_std": 0.0022097086533904076,
|
| 1257 |
+
"rewards/accuracy_reward": 0.5484375,
|
| 1258 |
"rewards/brier_reward": 0.0,
|
| 1259 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1260 |
+
"rewards/format_reward": 1.0,
|
| 1261 |
"rewards/mean_confidence_reward": 0.0,
|
| 1262 |
"step": 215
|
| 1263 |
},
|
|
|
|
| 1267 |
"clip_ratio/low_mean": 0.0,
|
| 1268 |
"clip_ratio/low_min": 0.0,
|
| 1269 |
"clip_ratio/region_mean": 0.0,
|
| 1270 |
+
"completions/clipped_ratio": 0.0,
|
| 1271 |
+
"completions/max_length": 18.2,
|
| 1272 |
+
"completions/max_terminated_length": 18.2,
|
| 1273 |
+
"completions/mean_length": 17.00625,
|
| 1274 |
+
"completions/mean_terminated_length": 17.00625,
|
| 1275 |
+
"completions/min_length": 16.6,
|
| 1276 |
+
"completions/min_terminated_length": 16.6,
|
| 1277 |
"epoch": 2.85024154589372,
|
| 1278 |
+
"grad_norm": 0.003187602385878563,
|
| 1279 |
"learning_rate": 1e-06,
|
| 1280 |
+
"loss": 0.0,
|
| 1281 |
+
"num_tokens": 24586918.0,
|
| 1282 |
+
"reward": 0.77421875,
|
| 1283 |
+
"reward_std": 0.0022097086533904076,
|
| 1284 |
+
"rewards/accuracy_reward": 0.5484375,
|
| 1285 |
"rewards/brier_reward": 0.0,
|
| 1286 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1287 |
+
"rewards/format_reward": 1.0,
|
| 1288 |
"rewards/mean_confidence_reward": 0.0,
|
| 1289 |
"step": 220
|
| 1290 |
},
|
|
|
|
| 1294 |
"clip_ratio/low_mean": 0.0,
|
| 1295 |
"clip_ratio/low_min": 0.0,
|
| 1296 |
"clip_ratio/region_mean": 0.0,
|
| 1297 |
+
"completions/clipped_ratio": 0.0,
|
| 1298 |
+
"completions/max_length": 17.0,
|
| 1299 |
+
"completions/max_terminated_length": 17.0,
|
| 1300 |
+
"completions/mean_length": 16.9984375,
|
| 1301 |
+
"completions/mean_terminated_length": 16.9984375,
|
| 1302 |
+
"completions/min_length": 16.8,
|
| 1303 |
+
"completions/min_terminated_length": 16.8,
|
| 1304 |
"epoch": 2.9146537842190017,
|
| 1305 |
"grad_norm": 0.0,
|
| 1306 |
"learning_rate": 1e-06,
|
| 1307 |
+
"loss": 0.0,
|
| 1308 |
+
"num_tokens": 25043109.0,
|
| 1309 |
+
"reward": 0.83046875,
|
| 1310 |
+
"reward_std": 0.0022097086533904076,
|
| 1311 |
+
"rewards/accuracy_reward": 0.6609375,
|
| 1312 |
"rewards/brier_reward": 0.0,
|
| 1313 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1314 |
+
"rewards/format_reward": 1.0,
|
| 1315 |
"rewards/mean_confidence_reward": 0.0,
|
| 1316 |
"step": 225
|
| 1317 |
},
|
|
|
|
| 1321 |
"clip_ratio/low_mean": 0.0,
|
| 1322 |
"clip_ratio/low_min": 0.0,
|
| 1323 |
"clip_ratio/region_mean": 0.0,
|
| 1324 |
+
"completions/clipped_ratio": 0.0,
|
| 1325 |
+
"completions/max_length": 17.6,
|
| 1326 |
+
"completions/max_terminated_length": 17.6,
|
| 1327 |
+
"completions/mean_length": 17.0046875,
|
| 1328 |
+
"completions/mean_terminated_length": 17.0046875,
|
| 1329 |
+
"completions/min_length": 17.0,
|
| 1330 |
+
"completions/min_terminated_length": 17.0,
|
| 1331 |
"epoch": 2.9790660225442833,
|
| 1332 |
+
"grad_norm": 0.0,
|
| 1333 |
"learning_rate": 1e-06,
|
| 1334 |
+
"loss": 0.0,
|
| 1335 |
+
"num_tokens": 25527624.0,
|
| 1336 |
+
"reward": 0.76875,
|
| 1337 |
+
"reward_std": 0.0,
|
| 1338 |
+
"rewards/accuracy_reward": 0.5375,
|
| 1339 |
"rewards/brier_reward": 0.0,
|
| 1340 |
"rewards/confidence_one_or_zero": 0.0,
|
| 1341 |
+
"rewards/format_reward": 1.0,
|
| 1342 |
"rewards/mean_confidence_reward": 0.0,
|
| 1343 |
"step": 230
|
| 1344 |
},
|
|
|
|
| 1346 |
"epoch": 2.9790660225442833,
|
| 1347 |
"step": 230,
|
| 1348 |
"total_flos": 0.0,
|
| 1349 |
+
"train_loss": 0.0006395614726225967,
|
| 1350 |
+
"train_runtime": 1235.3467,
|
| 1351 |
+
"train_samples_per_second": 3.016,
|
| 1352 |
+
"train_steps_per_second": 0.187
|
| 1353 |
}
|
| 1354 |
],
|
| 1355 |
"logging_steps": 5,
|
| 1356 |
"max_steps": 231,
|
| 1357 |
+
"num_input_tokens_seen": 25527624,
|
| 1358 |
"num_train_epochs": 3,
|
| 1359 |
"save_steps": 60,
|
| 1360 |
"stateful_callbacks": {
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 7992
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d621838afb400aedd4f5bc11f1106f7c3393295c516e1afd83b5de543331a2c3
|
| 3 |
size 7992
|