Instructions to use BayesTensor/modernbert_seeker1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BayesTensor/modernbert_seeker1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BayesTensor/modernbert_seeker1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BayesTensor/modernbert_seeker1") model = AutoModelForSequenceClassification.from_pretrained("BayesTensor/modernbert_seeker1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3, 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 598442860
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b082d9f7f07aa3218c210cddb092957f01f3072c9ec6bf41b03953a6ec3da23d
|
| 3 |
size 598442860
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1196973562
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ed1975b50a000839c6999b4cbd155ecd04a9bab206b47eb28bcff6fbf95376d
|
| 3 |
size 1196973562
|
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:c062f7f375beded48b5337f5a3f3a5cb38807fa3e85dbf3e294c0ab6b627bfc2
|
| 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:f17bc159752e862802fb5566308be6d1ff306dc0599471317a224de8cb8930a4
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "modernbert-medical-classifier/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -32,6 +32,22 @@
|
|
| 32 |
"eval_samples_per_second": 12.658,
|
| 33 |
"eval_steps_per_second": 3.164,
|
| 34 |
"step": 184
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
}
|
| 36 |
],
|
| 37 |
"logging_steps": 100,
|
|
@@ -51,7 +67,7 @@
|
|
| 51 |
"attributes": {}
|
| 52 |
}
|
| 53 |
},
|
| 54 |
-
"total_flos":
|
| 55 |
"train_batch_size": 4,
|
| 56 |
"trial_name": null,
|
| 57 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.2623751468860165,
|
| 3 |
+
"best_model_checkpoint": "modernbert-medical-classifier/checkpoint-276",
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 276,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 32 |
"eval_samples_per_second": 12.658,
|
| 33 |
"eval_steps_per_second": 3.164,
|
| 34 |
"step": 184
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"epoch": 2.1739130434782608,
|
| 38 |
+
"grad_norm": 10.296772003173828,
|
| 39 |
+
"learning_rate": 1.739130434782609e-05,
|
| 40 |
+
"loss": 1.1447,
|
| 41 |
+
"step": 200
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 3.0,
|
| 45 |
+
"eval_f1": 0.2623751468860165,
|
| 46 |
+
"eval_loss": 1.194385051727295,
|
| 47 |
+
"eval_runtime": 7.2397,
|
| 48 |
+
"eval_samples_per_second": 12.708,
|
| 49 |
+
"eval_steps_per_second": 3.177,
|
| 50 |
+
"step": 276
|
| 51 |
}
|
| 52 |
],
|
| 53 |
"logging_steps": 100,
|
|
|
|
| 67 |
"attributes": {}
|
| 68 |
}
|
| 69 |
},
|
| 70 |
+
"total_flos": 1894813111854000.0,
|
| 71 |
"train_batch_size": 4,
|
| 72 |
"trial_name": null,
|
| 73 |
"trial_params": null
|