Model save

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0636
-- F1: 0.6667
+- F1: 0.6780
+- Loss: 0.0492
 
 ## Model description
 
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -52,7 +52,6 @@ The following hyperparameters were used during training:
 | 0.0462        | 1.0   | 4604  | 0.4793 | 0.0570          |
 | 0.0006        | 2.0   | 9208  | 0.4261 | 0.0783          |
 | 0.0006        | 3.0   | 13812 | 0.6780 | 0.0492          |
-| 0.0002        | 4.0   | 18416 | 0.0636 | 0.6667          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d4d405f33cde314fd28740f9b05bf5af1d363d99bb8bfe0b9b520807484d5d48
+oid sha256:90090b4276b420a52adde1b20afbc5108dc8f830b83e9ac2421a58c404aacf7c
 size 343223968

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9ac35371d4c4cccecdd3ed32c440ee556161f85c760caa65f56f06e89ad41983
+oid sha256:06aeafc6e774ae29928ca26839ff01515046e7eb4bd0290cafd7780743921ea6
 size 5304