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 6000, 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 sha256:12c470a17dbe8250eb3711663def054fcab3331f5be99c6d57850d196072ad91
|
| 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 sha256:611153bb3285a35559d860f0b889c64689ef347e95d437692cf8ad6e448d64d5
|
| 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 sha256:713e5f70ab7746d0848664abe6562e461cee0e4046be3c44eb3fe5523e67aedd
|
| 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 sha256:7bb2b51b22f222dc6df63edb791d76de5de25b8bb724e885f8753e34cfb8ae10
|
| 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 sha256:7534cacc10bd8d4b4219398d58514a47b600e17e3bb81aff93725ab2ed7b02a5
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": 5500,
|
| 3 |
"best_metric": 0.9602459459459459,
|
| 4 |
"best_model_checkpoint": "/kaggle/working/arbert_submeter_training/checkpoints/checkpoint-5500",
|
| 5 |
-
"epoch":
|
| 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,
|
|
@@ -206,6 +206,24 @@
|
|
| 206 |
"eval_steps_per_second": 3.451,
|
| 207 |
"eval_weighted_f1": 0.9536733224654437,
|
| 208 |
"step": 5500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 209 |
}
|
| 210 |
],
|
| 211 |
"logging_steps": 500,
|
|
@@ -225,7 +243,7 @@
|
|
| 225 |
"attributes": {}
|
| 226 |
}
|
| 227 |
},
|
| 228 |
-
"total_flos": 2.
|
| 229 |
"train_batch_size": 128,
|
| 230 |
"trial_name": null,
|
| 231 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": 5500,
|
| 3 |
"best_metric": 0.9602459459459459,
|
| 4 |
"best_model_checkpoint": "/kaggle/working/arbert_submeter_training/checkpoints/checkpoint-5500",
|
| 5 |
+
"epoch": 1.0377064775577272,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 6000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 206 |
"eval_steps_per_second": 3.451,
|
| 207 |
"eval_weighted_f1": 0.9536733224654437,
|
| 208 |
"step": 5500
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 1.0377064775577272,
|
| 212 |
+
"grad_norm": 4.706158638000488,
|
| 213 |
+
"learning_rate": 3.270782889426958e-05,
|
| 214 |
+
"loss": 0.1422,
|
| 215 |
+
"step": 6000
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 1.0377064775577272,
|
| 219 |
+
"eval_accuracy": 0.9593081081081081,
|
| 220 |
+
"eval_loss": 0.1468845158815384,
|
| 221 |
+
"eval_macro_f1": 0.5689795604124087,
|
| 222 |
+
"eval_runtime": 420.1108,
|
| 223 |
+
"eval_samples_per_second": 880.72,
|
| 224 |
+
"eval_steps_per_second": 3.442,
|
| 225 |
+
"eval_weighted_f1": 0.9533441467822756,
|
| 226 |
+
"step": 6000
|
| 227 |
}
|
| 228 |
],
|
| 229 |
"logging_steps": 500,
|
|
|
|
| 243 |
"attributes": {}
|
| 244 |
}
|
| 245 |
},
|
| 246 |
+
"total_flos": 2.5260686542752384e+16,
|
| 247 |
"train_batch_size": 128,
|
| 248 |
"trial_name": null,
|
| 249 |
"trial_params": null
|