Instructions to use madhuHuggingface/functiongemma-vpc-finetunedv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("madhuHuggingface/functiongemma-vpc-finetunedv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="madhuHuggingface/functiongemma-vpc-finetunedv2", max_seq_length=2048, )
Training in progress, step 5000, 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 121537408
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95e3f886bf7f8655835492083a117bcce51363aebe25019ebed83bdff00c063a
|
| 3 |
size 121537408
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 62000725
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:576a2e37a6fcf68693d2451e55f8c2afd68db095465943326619ce2a3ff676b1
|
| 3 |
size 62000725
|
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:a9265dddd9699a4c694aba82b40eea390095b36c5170875045b924dadbd9286b
|
| 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,
|
|
@@ -3438,6 +3438,76 @@
|
|
| 3438 |
"learning_rate": 8.145013069944896e-05,
|
| 3439 |
"loss": 0.0021,
|
| 3440 |
"step": 4900
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3441 |
}
|
| 3442 |
],
|
| 3443 |
"logging_steps": 10,
|
|
@@ -3457,7 +3527,7 @@
|
|
| 3457 |
"attributes": {}
|
| 3458 |
}
|
| 3459 |
},
|
| 3460 |
-
"total_flos": 1.
|
| 3461 |
"train_batch_size": 2,
|
| 3462 |
"trial_name": null,
|
| 3463 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.7159159159159159,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 5000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 3438 |
"learning_rate": 8.145013069944896e-05,
|
| 3439 |
"loss": 0.0021,
|
| 3440 |
"step": 4900
|
| 3441 |
+
},
|
| 3442 |
+
{
|
| 3443 |
+
"epoch": 1.685027885027885,
|
| 3444 |
+
"grad_norm": 0.007503673899918795,
|
| 3445 |
+
"learning_rate": 8.109631132620254e-05,
|
| 3446 |
+
"loss": 0.0018,
|
| 3447 |
+
"step": 4910
|
| 3448 |
+
},
|
| 3449 |
+
{
|
| 3450 |
+
"epoch": 1.6884598884598885,
|
| 3451 |
+
"grad_norm": 0.0341227650642395,
|
| 3452 |
+
"learning_rate": 8.074273720558279e-05,
|
| 3453 |
+
"loss": 0.0042,
|
| 3454 |
+
"step": 4920
|
| 3455 |
+
},
|
| 3456 |
+
{
|
| 3457 |
+
"epoch": 1.691891891891892,
|
| 3458 |
+
"grad_norm": 0.0019191118190065026,
|
| 3459 |
+
"learning_rate": 8.038941292478876e-05,
|
| 3460 |
+
"loss": 0.0036,
|
| 3461 |
+
"step": 4930
|
| 3462 |
+
},
|
| 3463 |
+
{
|
| 3464 |
+
"epoch": 1.6953238953238952,
|
| 3465 |
+
"grad_norm": 0.12887495756149292,
|
| 3466 |
+
"learning_rate": 8.003634306777803e-05,
|
| 3467 |
+
"loss": 0.0024,
|
| 3468 |
+
"step": 4940
|
| 3469 |
+
},
|
| 3470 |
+
{
|
| 3471 |
+
"epoch": 1.6987558987558988,
|
| 3472 |
+
"grad_norm": 0.05117976292967796,
|
| 3473 |
+
"learning_rate": 7.968353221520737e-05,
|
| 3474 |
+
"loss": 0.0037,
|
| 3475 |
+
"step": 4950
|
| 3476 |
+
},
|
| 3477 |
+
{
|
| 3478 |
+
"epoch": 1.702187902187902,
|
| 3479 |
+
"grad_norm": 0.028330549597740173,
|
| 3480 |
+
"learning_rate": 7.93309849443734e-05,
|
| 3481 |
+
"loss": 0.002,
|
| 3482 |
+
"step": 4960
|
| 3483 |
+
},
|
| 3484 |
+
{
|
| 3485 |
+
"epoch": 1.7056199056199057,
|
| 3486 |
+
"grad_norm": 0.018671255558729172,
|
| 3487 |
+
"learning_rate": 7.897870582915288e-05,
|
| 3488 |
+
"loss": 0.002,
|
| 3489 |
+
"step": 4970
|
| 3490 |
+
},
|
| 3491 |
+
{
|
| 3492 |
+
"epoch": 1.709051909051909,
|
| 3493 |
+
"grad_norm": 0.02767166681587696,
|
| 3494 |
+
"learning_rate": 7.862669943994375e-05,
|
| 3495 |
+
"loss": 0.0024,
|
| 3496 |
+
"step": 4980
|
| 3497 |
+
},
|
| 3498 |
+
{
|
| 3499 |
+
"epoch": 1.7124839124839126,
|
| 3500 |
+
"grad_norm": 0.013923927210271358,
|
| 3501 |
+
"learning_rate": 7.827497034360549e-05,
|
| 3502 |
+
"loss": 0.0015,
|
| 3503 |
+
"step": 4990
|
| 3504 |
+
},
|
| 3505 |
+
{
|
| 3506 |
+
"epoch": 1.7159159159159159,
|
| 3507 |
+
"grad_norm": 0.0013914982555434108,
|
| 3508 |
+
"learning_rate": 7.792352310340023e-05,
|
| 3509 |
+
"loss": 0.0018,
|
| 3510 |
+
"step": 5000
|
| 3511 |
}
|
| 3512 |
],
|
| 3513 |
"logging_steps": 10,
|
|
|
|
| 3527 |
"attributes": {}
|
| 3528 |
}
|
| 3529 |
},
|
| 3530 |
+
"total_flos": 1.896207372748877e+16,
|
| 3531 |
"train_batch_size": 2,
|
| 3532 |
"trial_name": null,
|
| 3533 |
"trial_params": null
|