Model save

README.md

@@ -9,21 +9,21 @@ metrics:
 - precision
 - recall
 model-index:
-- name: clapAI/roberta-base-multilingual-sentiment
+- name: 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. -->
 
-# clapAI/roberta-base-multilingual-sentiment
+# 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: 0.4260
-- F1: 0.8168
-- Precision: 0.8178
-- Recall: 0.8160
+- Loss: 0.4341
+- F1: 0.8169
+- Precision: 0.8176
+- Recall: 0.8163
 
 ## Model description
 
@@ -59,11 +59,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:---------:|:------:|
-| 0.898         | 1.0   | 3074  | 0.4324          | 0.8048 | 0.8081    | 0.8033 |
-| 0.8305        | 2.0   | 6148  | 0.4175          | 0.8147 | 0.8151    | 0.8143 |
-| 0.7187        | 3.0   | 9222  | 0.4219          | 0.8162 | 0.8167    | 0.8158 |
-| 0.7263        | 4.0   | 12296 | 0.4260          | 0.8168 | 0.8178    | 0.8160 |
-| 0.6721        | 5.0   | 15370 | 0.4333          | 0.8168 | 0.8175    | 0.8162 |
+| 0.893         | 1.0   | 3074  | 0.4333          | 0.8038 | 0.8076    | 0.8022 |
+| 0.8335        | 2.0   | 6148  | 0.4180          | 0.8150 | 0.8152    | 0.8149 |
+| 0.7149        | 3.0   | 9222  | 0.4238          | 0.8162 | 0.8168    | 0.8158 |
+| 0.7298        | 4.0   | 12296 | 0.4258          | 0.8168 | 0.8178    | 0.8160 |
+| 0.6729        | 5.0   | 15370 | 0.4341          | 0.8169 | 0.8176    | 0.8163 |
 
 
 ### Framework versions

all_results.json

@@ -14,8 +14,8 @@
     "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,
-    "train_steps_per_second": 0.191
+    "train_loss": 0.7952802232433311,
+    "train_runtime": 71244.959,
+    "train_samples_per_second": 220.891,
+    "train_steps_per_second": 0.216
 }

runs/Jan02_10-47-18_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1735815085.hn-fornix-testing-gpu-platform-2.3915291.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b41f349a1823438288540f37c8d93ed659bb0c5551c4cd7fd88cbc5484136e26
-size 655647
+oid sha256:aac2c4ae2bd9cd9d421feb44ce24b5a7873d2c7a4c7d7bae39e54e4e296bf8fa
+size 656421

train_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 5.0,
-    "train_loss": 0.7951339374212142,
-    "train_runtime": 80422.989,
-    "train_samples_per_second": 195.683,
-    "train_steps_per_second": 0.191
+    "train_loss": 0.7952802232433311,
+    "train_runtime": 71244.959,
+    "train_samples_per_second": 220.891,
+    "train_steps_per_second": 0.216
 }