Instructions to use Shaer-AI/ARBERT-base-submeter-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaer-AI/ARBERT-base-submeter-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shaer-AI/ARBERT-base-submeter-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier") model = AutoModelForSequenceClassification.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13500, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 651465828
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74e982a5afc6ad69ded3befd43cf7562bd83852a9d075a0fc62c703476f80bbe
|
| 3 |
size 651465828
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1303053067
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4f364e33d30ad2dcdd57fd874bd60fe3dfb8278ec68b0c7b583f0834d0e187e
|
| 3 |
size 1303053067
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e80ad0469f215ea5337eb868c59a2aae2f00ac649fc01e5f2dea34d5b7538e7
|
| 3 |
size 14645
|
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:fb93e8820f4ee2418a74fd767141cfc6fe878cd5d24be88a47153cb135054556
|
| 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 sha256:74ecd875ea9852ca54027f00cadd1300f331bc6855eb0507146133323a9a38ff
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step":
|
| 3 |
-
"best_metric": 0.
|
| 4 |
-
"best_model_checkpoint": "/kaggle/working/arbert_submeter_training/checkpoints/checkpoint-
|
| 5 |
-
"epoch": 2.
|
| 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,
|
|
@@ -476,6 +476,24 @@
|
|
| 476 |
"eval_steps_per_second": 3.452,
|
| 477 |
"eval_weighted_f1": 0.9634743085321129,
|
| 478 |
"step": 13000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 479 |
}
|
| 480 |
],
|
| 481 |
"logging_steps": 500,
|
|
@@ -495,7 +513,7 @@
|
|
| 495 |
"attributes": {}
|
| 496 |
}
|
| 497 |
},
|
| 498 |
-
"total_flos": 5.
|
| 499 |
"train_batch_size": 128,
|
| 500 |
"trial_name": null,
|
| 501 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": 13500,
|
| 3 |
+
"best_metric": 0.9696405405405405,
|
| 4 |
+
"best_model_checkpoint": "/kaggle/working/arbert_submeter_training/checkpoints/checkpoint-13500",
|
| 5 |
+
"epoch": 2.3348611951915594,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 13500,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 476 |
"eval_steps_per_second": 3.452,
|
| 477 |
"eval_weighted_f1": 0.9634743085321129,
|
| 478 |
"step": 13000
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.3348611951915594,
|
| 482 |
+
"grad_norm": 2.883910655975342,
|
| 483 |
+
"learning_rate": 1.1089011875936815e-05,
|
| 484 |
+
"loss": 0.0835,
|
| 485 |
+
"step": 13500
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.3348611951915594,
|
| 489 |
+
"eval_accuracy": 0.9696405405405405,
|
| 490 |
+
"eval_loss": 0.11618903279304504,
|
| 491 |
+
"eval_macro_f1": 0.5970308633746413,
|
| 492 |
+
"eval_runtime": 418.887,
|
| 493 |
+
"eval_samples_per_second": 883.293,
|
| 494 |
+
"eval_steps_per_second": 3.452,
|
| 495 |
+
"eval_weighted_f1": 0.9638159327084403,
|
| 496 |
+
"step": 13500
|
| 497 |
}
|
| 498 |
],
|
| 499 |
"logging_steps": 500,
|
|
|
|
| 513 |
"attributes": {}
|
| 514 |
}
|
| 515 |
},
|
| 516 |
+
"total_flos": 5.683734244128077e+16,
|
| 517 |
"train_batch_size": 128,
|
| 518 |
"trial_name": null,
|
| 519 |
"trial_params": null
|