Instructions to use dschauhan08/MiniCPM5-1B-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dschauhan08/MiniCPM5-1B-Checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dschauhan08/MiniCPM5-1B-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, step 3276, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 44871152
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c86dadc500b7188faf7a8bb7a954d0971ad492e6fc6ecdc105bab21d7d9e30b
|
| 3 |
size 44871152
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 23160933
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e04f7cbd508a4aca9633d4642c5f36e93f991547db82777edb22c8552dedecc
|
| 3 |
size 23160933
|
last-checkpoint/scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1383
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75a44b3635613af98dbe31c7f353f92c33d397458c8f6c5354223aad999f0546
|
| 3 |
size 1383
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:25eb07200b873fcd613c4be0014b422c43d68a4f83d8b03bae4b1fa479396410
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 1.
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -2241,6 +2241,62 @@
|
|
| 2241 |
"learning_rate": 5.6803786218553225e-05,
|
| 2242 |
"loss": 0.39436218738555906,
|
| 2243 |
"step": 3190
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2244 |
}
|
| 2245 |
],
|
| 2246 |
"logging_steps": 10,
|
|
@@ -2260,7 +2316,7 @@
|
|
| 2260 |
"attributes": {}
|
| 2261 |
}
|
| 2262 |
},
|
| 2263 |
-
"total_flos": 5.
|
| 2264 |
"train_batch_size": 4,
|
| 2265 |
"trial_name": null,
|
| 2266 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.3415583085901506,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 3276,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 2241 |
"learning_rate": 5.6803786218553225e-05,
|
| 2242 |
"loss": 0.39436218738555906,
|
| 2243 |
"step": 3190
|
| 2244 |
+
},
|
| 2245 |
+
{
|
| 2246 |
+
"epoch": 1.3104330910207842,
|
| 2247 |
+
"grad_norm": 0.21847650408744812,
|
| 2248 |
+
"learning_rate": 5.620660325105085e-05,
|
| 2249 |
+
"loss": 0.3792898178100586,
|
| 2250 |
+
"step": 3200
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 1.3145285143851746,
|
| 2254 |
+
"grad_norm": 0.18161235749721527,
|
| 2255 |
+
"learning_rate": 5.561134647750453e-05,
|
| 2256 |
+
"loss": 0.3819849967956543,
|
| 2257 |
+
"step": 3210
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 1.3186239377495648,
|
| 2261 |
+
"grad_norm": 0.19815488159656525,
|
| 2262 |
+
"learning_rate": 5.501804207948686e-05,
|
| 2263 |
+
"loss": 0.3910470724105835,
|
| 2264 |
+
"step": 3220
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 1.3227193611139552,
|
| 2268 |
+
"grad_norm": 0.20001402497291565,
|
| 2269 |
+
"learning_rate": 5.4426716152697966e-05,
|
| 2270 |
+
"loss": 0.40929183959960935,
|
| 2271 |
+
"step": 3230
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 1.3268147844783456,
|
| 2275 |
+
"grad_norm": 0.1942245364189148,
|
| 2276 |
+
"learning_rate": 5.383739470581739e-05,
|
| 2277 |
+
"loss": 0.3569636344909668,
|
| 2278 |
+
"step": 3240
|
| 2279 |
+
},
|
| 2280 |
+
{
|
| 2281 |
+
"epoch": 1.3309102078427357,
|
| 2282 |
+
"grad_norm": 0.19983036816120148,
|
| 2283 |
+
"learning_rate": 5.3250103659360474e-05,
|
| 2284 |
+
"loss": 0.45906848907470704,
|
| 2285 |
+
"step": 3250
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 1.335005631207126,
|
| 2289 |
+
"grad_norm": 0.16998930275440216,
|
| 2290 |
+
"learning_rate": 5.2664868844538e-05,
|
| 2291 |
+
"loss": 0.37126028537750244,
|
| 2292 |
+
"step": 3260
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 1.3391010545715163,
|
| 2296 |
+
"grad_norm": 0.21435993909835815,
|
| 2297 |
+
"learning_rate": 5.2081716002120195e-05,
|
| 2298 |
+
"loss": 0.4437861919403076,
|
| 2299 |
+
"step": 3270
|
| 2300 |
}
|
| 2301 |
],
|
| 2302 |
"logging_steps": 10,
|
|
|
|
| 2316 |
"attributes": {}
|
| 2317 |
}
|
| 2318 |
},
|
| 2319 |
+
"total_flos": 5.68472722169684e+17,
|
| 2320 |
"train_batch_size": 4,
|
| 2321 |
"trial_name": null,
|
| 2322 |
"trial_params": null
|