Instructions to use jmmr-8282/email with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmmr-8282/email with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jmmr-8282/email")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jmmr-8282/email") model = AutoModelForSequenceClassification.from_pretrained("jmmr-8282/email") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10, 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 437958624
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b66535ff6415d2c31921f3fe356b0fac561719725dcb426dd1c3a9773e770c5
|
| 3 |
size 437958624
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4741923
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f45e4c9cef7b3d793962401a30cc5375b49e5f6fa7d66e64cc389d199fe8102b
|
| 3 |
size 4741923
|
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 sha256:7f2e8413b53592d1e0dd4c602cd67bd1e7cb9a9ee96e69486272827e44496b7a
|
| 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:cd34198e30d2e33cdb497643e8b4ce22778c6cc08096a422300c51708bdf5a02
|
| 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 sha256:695b5daec62904ea9fe48fd42c554ece0bc33b8a351b379641efd77afed9c35f
|
| 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": "./bert-email/checkpoint-
|
| 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,
|
|
@@ -136,6 +136,21 @@
|
|
| 136 |
"eval_samples_per_second": 55.845,
|
| 137 |
"eval_steps_per_second": 1.752,
|
| 138 |
"step": 4203
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 139 |
}
|
| 140 |
],
|
| 141 |
"logging_steps": 500,
|
|
@@ -150,12 +165,12 @@
|
|
| 150 |
"should_evaluate": false,
|
| 151 |
"should_log": false,
|
| 152 |
"should_save": true,
|
| 153 |
-
"should_training_stop":
|
| 154 |
},
|
| 155 |
"attributes": {}
|
| 156 |
}
|
| 157 |
},
|
| 158 |
-
"total_flos": 3.
|
| 159 |
"train_batch_size": 32,
|
| 160 |
"trial_name": null,
|
| 161 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": 4670,
|
| 3 |
+
"best_metric": 0.45520129799842834,
|
| 4 |
+
"best_model_checkpoint": "./bert-email/checkpoint-4670",
|
| 5 |
+
"epoch": 10.0,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 4670,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 136 |
"eval_samples_per_second": 55.845,
|
| 137 |
"eval_steps_per_second": 1.752,
|
| 138 |
"step": 4203
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 9.635974304068522,
|
| 142 |
+
"grad_norm": 1.6265816688537598,
|
| 143 |
+
"learning_rate": 3.661670235546039e-07,
|
| 144 |
+
"loss": 0.4844812927246094,
|
| 145 |
+
"step": 4500
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 10.0,
|
| 149 |
+
"eval_loss": 0.45520129799842834,
|
| 150 |
+
"eval_runtime": 66.8894,
|
| 151 |
+
"eval_samples_per_second": 55.764,
|
| 152 |
+
"eval_steps_per_second": 1.749,
|
| 153 |
+
"step": 4670
|
| 154 |
}
|
| 155 |
],
|
| 156 |
"logging_steps": 500,
|
|
|
|
| 165 |
"should_evaluate": false,
|
| 166 |
"should_log": false,
|
| 167 |
"should_save": true,
|
| 168 |
+
"should_training_stop": true
|
| 169 |
},
|
| 170 |
"attributes": {}
|
| 171 |
}
|
| 172 |
},
|
| 173 |
+
"total_flos": 3.947507785777152e+16,
|
| 174 |
"train_batch_size": 32,
|
| 175 |
"trial_name": null,
|
| 176 |
"trial_params": null
|