End of training

README.md

@@ -9,21 +9,21 @@ metrics:
 - precision
 - recall
 model-index:
-- name: roberta-large-multilingual-sentiment
+- name: clapAI/roberta-large-multilingual-sentiment
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# roberta-large-multilingual-sentiment
+# clapAI/roberta-large-multilingual-sentiment
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4302
-- F1: 0.8242
-- Precision: 0.8247
-- Recall: 0.8238
+- Loss: 0.4136
+- F1: 0.8249
+- Precision: 0.8256
+- Recall: 0.8243
 
 ## Model description
 

all_results.json

@@ -1,5 +1,19 @@
 {
     "epoch": 5.0,
+    "eval_f1": 0.8249050225524125,
+    "eval_loss": 0.41357421875,
+    "eval_precision": 0.825624581488519,
+    "eval_recall": 0.8243496742948847,
+    "eval_runtime": 1162.682,
+    "eval_samples_per_second": 338.386,
+    "eval_steps_per_second": 0.661,
+    "test_f1": 0.8262945499829749,
+    "test_loss": 0.411376953125,
+    "test_precision": 0.8271664012247752,
+    "test_recall": 0.8256432203503072,
+    "test_runtime": 1038.4953,
+    "test_samples_per_second": 378.852,
+    "test_steps_per_second": 0.74,
     "train_loss": 0.7460857761162166,
     "train_runtime": 176390.3873,
     "train_samples_per_second": 89.219,

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 5.0,
+    "eval_f1": 0.8249050225524125,
+    "eval_loss": 0.41357421875,
+    "eval_precision": 0.825624581488519,
+    "eval_recall": 0.8243496742948847,
+    "eval_runtime": 1162.682,
+    "eval_samples_per_second": 338.386,
+    "eval_steps_per_second": 0.661
+}

runs/Jan03_07-02-47_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1736065945.hn-fornix-testing-gpu-platform-2.4140080.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab6a40bd58d6201333a502f960bdc21a410bcc9434acabe985e4a88bad5ca12c
+size 508

test_results.json

@@ -0,0 +1,9 @@
+{
+    "test_f1": 0.8262945499829749,
+    "test_loss": 0.411376953125,
+    "test_precision": 0.8271664012247752,
+    "test_recall": 0.8256432203503072,
+    "test_runtime": 1038.4953,
+    "test_samples_per_second": 378.852,
+    "test_steps_per_second": 0.74
+}