End of training

README.md

@@ -9,21 +9,21 @@ metrics:
 - precision
 - recall
 model-index:
-- name: roberta-base-multilingual-sentiment
+- name: clapAI/roberta-base-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-base-multilingual-sentiment
+# clapAI/roberta-base-multilingual-sentiment
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4333
+- Loss: 0.4260
 - F1: 0.8168
-- Precision: 0.8175
-- Recall: 0.8162
+- Precision: 0.8178
+- Recall: 0.8160
 
 ## Model description
 

all_results.json

@@ -1,5 +1,19 @@
 {
     "epoch": 5.0,
+    "eval_f1": 0.8167605279211759,
+    "eval_loss": 0.426025390625,
+    "eval_precision": 0.8178058937030933,
+    "eval_recall": 0.8160241347563627,
+    "eval_runtime": 638.791,
+    "eval_samples_per_second": 615.906,
+    "eval_steps_per_second": 1.204,
+    "test_f1": 0.818214717800741,
+    "test_loss": 0.426025390625,
+    "test_precision": 0.8194261526626615,
+    "test_recall": 0.8173822865874517,
+    "test_runtime": 637.6536,
+    "test_samples_per_second": 617.006,
+    "test_steps_per_second": 1.206,
     "train_loss": 0.7951339374212142,
     "train_runtime": 80422.989,
     "train_samples_per_second": 195.683,

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 5.0,
+    "eval_f1": 0.8167605279211759,
+    "eval_loss": 0.426025390625,
+    "eval_precision": 0.8178058937030933,
+    "eval_recall": 0.8160241347563627,
+    "eval_runtime": 638.791,
+    "eval_samples_per_second": 615.906,
+    "eval_steps_per_second": 1.204
+}

runs/Jan01_10-52-53_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1735810199.hn-fornix-testing-gpu-platform-2.1337824.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f0a8af8ad614b72a4978eaceaa9f3e2296064ec3e9cb0a5ab5ac8951c6203c8
+size 508

test_results.json

@@ -0,0 +1,9 @@
+{
+    "test_f1": 0.818214717800741,
+    "test_loss": 0.426025390625,
+    "test_precision": 0.8194261526626615,
+    "test_recall": 0.8173822865874517,
+    "test_runtime": 637.6536,
+    "test_samples_per_second": 617.006,
+    "test_steps_per_second": 1.206
+}