Instructions to use masatochi/tuning-364a1e79-e5ec-4e64-ad45-fd532a9c377e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use masatochi/tuning-364a1e79-e5ec-4e64-ad45-fd532a9c377e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("shenzhi-wang/Llama3.1-8B-Chinese-Chat") model = PeftModel.from_pretrained(base_model, "masatochi/tuning-364a1e79-e5ec-4e64-ad45-fd532a9c377e") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200, 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 83945296
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3727237ae3935b62ae996af32d303af34e4cd5253f63eb2d60627cc5ef912920
|
| 3 |
size 83945296
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 43122580
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:777bdf50a841d4b9781e0ab8e00624d257f1bc7472e451827de97f2d11a85d33
|
| 3 |
size 43122580
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:33c67ae2325c5a312a1fadb56ddccb9bf6f35a5c2e1dc133fc3f71609827e280
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca9a25c72339c898b564e0c464a3f6fc75bbeec408008928b7ed05533156b98c
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 34,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -1420,6 +1420,41 @@
|
|
| 1420 |
"learning_rate": 4.2658237049655323e-07,
|
| 1421 |
"loss": 1.0008,
|
| 1422 |
"step": 195
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1423 |
}
|
| 1424 |
],
|
| 1425 |
"logging_steps": 1,
|
|
@@ -1434,12 +1469,12 @@
|
|
| 1434 |
"should_evaluate": false,
|
| 1435 |
"should_log": false,
|
| 1436 |
"should_save": true,
|
| 1437 |
-
"should_training_stop":
|
| 1438 |
},
|
| 1439 |
"attributes": {}
|
| 1440 |
}
|
| 1441 |
},
|
| 1442 |
-
"total_flos": 8.
|
| 1443 |
"train_batch_size": 3,
|
| 1444 |
"trial_name": null,
|
| 1445 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.09780548933308882,
|
| 5 |
"eval_steps": 34,
|
| 6 |
+
"global_step": 200,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 1420 |
"learning_rate": 4.2658237049655323e-07,
|
| 1421 |
"loss": 1.0008,
|
| 1422 |
"step": 195
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 0.09584937954642704,
|
| 1426 |
+
"grad_norm": 0.4474238157272339,
|
| 1427 |
+
"learning_rate": 2.7308266142119785e-07,
|
| 1428 |
+
"loss": 0.9659,
|
| 1429 |
+
"step": 196
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 0.09633840699309248,
|
| 1433 |
+
"grad_norm": 0.27518409490585327,
|
| 1434 |
+
"learning_rate": 1.5363960325660565e-07,
|
| 1435 |
+
"loss": 1.134,
|
| 1436 |
+
"step": 197
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 0.09682743443975793,
|
| 1440 |
+
"grad_norm": 0.4118005037307739,
|
| 1441 |
+
"learning_rate": 6.829398569770939e-08,
|
| 1442 |
+
"loss": 0.9985,
|
| 1443 |
+
"step": 198
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 0.09731646188642337,
|
| 1447 |
+
"grad_norm": 0.38307955861091614,
|
| 1448 |
+
"learning_rate": 1.7074954194729044e-08,
|
| 1449 |
+
"loss": 1.0373,
|
| 1450 |
+
"step": 199
|
| 1451 |
+
},
|
| 1452 |
+
{
|
| 1453 |
+
"epoch": 0.09780548933308882,
|
| 1454 |
+
"grad_norm": 0.5424556136131287,
|
| 1455 |
+
"learning_rate": 0.0,
|
| 1456 |
+
"loss": 0.9834,
|
| 1457 |
+
"step": 200
|
| 1458 |
}
|
| 1459 |
],
|
| 1460 |
"logging_steps": 1,
|
|
|
|
| 1469 |
"should_evaluate": false,
|
| 1470 |
"should_log": false,
|
| 1471 |
"should_save": true,
|
| 1472 |
+
"should_training_stop": true
|
| 1473 |
},
|
| 1474 |
"attributes": {}
|
| 1475 |
}
|
| 1476 |
},
|
| 1477 |
+
"total_flos": 8.877908391100416e+17,
|
| 1478 |
"train_batch_size": 3,
|
| 1479 |
"trial_name": null,
|
| 1480 |
"trial_params": null
|