End of training

README.md

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1467
-- F1: 0.9693
-- Roc Auc: 0.9602
-- Accuracy: 0.8938
+- Loss: 0.1617
+- F1: 0.9683
+- Roc Auc: 0.9622
+- Accuracy: 0.9125
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| 0.2827        | 1.0   | 600  | 0.1985          | 0.9244 | 0.9174  | 0.7479   |
-| 0.1387        | 2.0   | 1200 | 0.1323          | 0.9607 | 0.9452  | 0.8625   |
-| 0.0814        | 3.0   | 1800 | 0.1362          | 0.9691 | 0.9564  | 0.8927   |
-| 0.0543        | 4.0   | 2400 | 0.1542          | 0.9667 | 0.9575  | 0.8865   |
-| 0.0194        | 5.0   | 3000 | 0.1467          | 0.9693 | 0.9602  | 0.8938   |
+| 0.312         | 1.0   | 600  | 0.2784          | 0.9053 | 0.8878  | 0.7333   |
+| 0.1656        | 2.0   | 1200 | 0.1670          | 0.9468 | 0.9348  | 0.8542   |
+| 0.0967        | 3.0   | 1800 | 0.1803          | 0.9585 | 0.9504  | 0.8865   |
+| 0.0685        | 4.0   | 2400 | 0.1694          | 0.9639 | 0.9568  | 0.9021   |
+| 0.0286        | 5.0   | 3000 | 0.1617          | 0.9683 | 0.9622  | 0.9125   |
 
 
 ### Framework versions

config.json

@@ -12,14 +12,16 @@
   "hidden_size": 768,
   "id2label": {
     "0": "UK",
-    "1": "Real",
-    "2": "Inspirational"
+    "1": "India",
+    "2": "Real",
+    "3": "Inspirational"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "Inspirational": 2,
-    "Real": 1,
+    "India": 1,
+    "Inspirational": 3,
+    "Real": 2,
     "UK": 0
   },
   "layer_norm_eps": 1e-05,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bae34739afeb119ca7a78764e6949926a39d3019bd888aae992d2c985fcad39a
-size 1112208084
+oid sha256:105b1800c1e1f7a461bdc26f11a3c7c1338e509bf81545bfb05f170a8b8413d9
+size 1112211160

runs/Apr11_05-37-38_a71397fe554d/events.out.tfevents.1712813866.a71397fe554d.171.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46084cb47e8e39418fc55062de09cb23d46373932a606213126b4e3b3f3bdea6
+size 8669

runs/Apr11_05-37-38_a71397fe554d/events.out.tfevents.1712815401.a71397fe554d.171.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6601d544e6f15820eb57f4342a30623726161e77d4dc31d2ce2a48a5b7deeba
+size 508

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:83f1aad8392cd87bfdfb69779b8747ea2c76fe404979aa6b33f8fc16a322d7aa
+oid sha256:219ff7af74422486977a7f0ceb4b00ddc031103b42de03a055bf8080c68c8a7d
 size 4984