End of training

README.md

@@ -236,7 +236,7 @@ You can finetune this model on your own dataset.
 ### Training Hyperparameters
 #### Non-Default Hyperparameters
 
-- `num_train_epochs`: 10
+- `num_train_epochs`: 15
 - `fp16`: True
 - `push_to_hub`: True
 - `batch_sampler`: no_duplicates
@@ -261,7 +261,7 @@ You can finetune this model on your own dataset.
 - `adam_beta2`: 0.999
 - `adam_epsilon`: 1e-08
 - `max_grad_norm`: 1.0
-- `num_train_epochs`: 10
+- `num_train_epochs`: 15
 - `max_steps`: -1
 - `lr_scheduler_type`: linear
 - `lr_scheduler_kwargs`: {}
@@ -360,16 +360,21 @@ You can finetune this model on your own dataset.
 </details>
 
 ### Training Logs
-| Epoch  | Step | Training Loss |
-|:------:|:----:|:-------------:|
-| 1.1416 | 500  | 0.341         |
-| 2.2831 | 1000 | 0.1082        |
-| 3.4247 | 1500 | 0.0485        |
-| 4.5662 | 2000 | 0.0226        |
-| 5.7078 | 2500 | 0.0133        |
-| 6.8493 | 3000 | 0.0066        |
-| 7.9909 | 3500 | 0.0042        |
-| 9.1324 | 4000 | 0.0017        |
+| Epoch   | Step | Training Loss |
+|:-------:|:----:|:-------------:|
+| 1.1416  | 500  | 0.3424        |
+| 2.2831  | 1000 | 0.1122        |
+| 3.4247  | 1500 | 0.0523        |
+| 4.5662  | 2000 | 0.0273        |
+| 5.7078  | 2500 | 0.0186        |
+| 6.8493  | 3000 | 0.0096        |
+| 7.9909  | 3500 | 0.0059        |
+| 9.1324  | 4000 | 0.0034        |
+| 10.2740 | 4500 | 0.0014        |
+| 11.4155 | 5000 | 0.0006        |
+| 12.5571 | 5500 | 0.0004        |
+| 13.6986 | 6000 | 0.0003        |
+| 14.8402 | 6500 | 0.0002        |
 
 
 ### Framework Versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fce8e668d792eef7161144d7fa01e4b469291c436a219a10746a5e6830031f94
+oid sha256:52e55667139f35296a113b24fdf1055c14dd91124f6a44f293d7a387bba0455c
 size 437951328