Training completed!

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1379
-- F1: 0.8608
+- Loss: 0.1370
+- F1: 0.8644
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2622        | 1.0   | 525  | 0.1519          | 0.8296 |
-| 0.1279        | 2.0   | 1050 | 0.1421          | 0.8488 |
-| 0.0808        | 3.0   | 1575 | 0.1379          | 0.8608 |
+| 0.2585        | 1.0   | 525  | 0.1510          | 0.8236 |
+| 0.1246        | 2.0   | 1050 | 0.1427          | 0.8511 |
+| 0.08          | 3.0   | 1575 | 0.1370          | 0.8644 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c495d344142299bc900c76dccf6274bfbef6a7e82bbc18340a08cf43c056099b
+oid sha256:68d8ee87de32a4ea02f1a80a3511cb0220911ba3d5994ce9eb30803d402cd900
 size 1109857804

runs/Jan10_22-49-39_b38037e652c9/events.out.tfevents.1704927021.b38037e652c9.6167.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59eb4908e9b80bc5cd74cf0f3b86cd700b1fa450d4fc8a033bafd0ebf5d9738d
+size 6348

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e5775df6a71cdf3cacfc3bd1f92f0588a8e27e3332f5441e27397db1a10f064e
+oid sha256:5541a2907512429c5678955646f21893ec12e234f2c5ae2f1bee8f342b14a185
 size 4600