Model save

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8298668885191348
+      value: 0.8286902286902287
     - name: Recall
       type: recall
-      value: 0.8807947019867549
+      value: 0.8799116997792494
     - name: F1
       type: f1
-      value: 0.8545727136431784
+      value: 0.8535331905781585
     - name: Accuracy
       type: accuracy
-      value: 0.9612006713767126
+      value: 0.9596393301846285
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the cnec dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2279
-- Precision: 0.8299
-- Recall: 0.8808
-- F1: 0.8546
-- Accuracy: 0.9612
+- Loss: 0.2075
+- Precision: 0.8287
+- Recall: 0.8799
+- F1: 0.8535
+- Accuracy: 0.9596
 
 ## Model description
 
@@ -79,11 +79,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.5393        | 1.7   | 500  | 0.2155          | 0.7523    | 0.8313 | 0.7898 | 0.9494   |
-| 0.164         | 3.4   | 1000 | 0.1931          | 0.7883    | 0.8481 | 0.8171 | 0.9563   |
-| 0.0958        | 5.1   | 1500 | 0.2049          | 0.8092    | 0.8614 | 0.8345 | 0.9587   |
-| 0.0523        | 6.8   | 2000 | 0.2152          | 0.8265    | 0.8728 | 0.8490 | 0.9595   |
-| 0.0323        | 8.5   | 2500 | 0.2279          | 0.8299    | 0.8808 | 0.8546 | 0.9612   |
+| 0.4947        | 1.7   | 500  | 0.2132          | 0.7394    | 0.8216 | 0.7783 | 0.9506   |
+| 0.1795        | 3.4   | 1000 | 0.1918          | 0.7865    | 0.8570 | 0.8202 | 0.9562   |
+| 0.1177        | 5.1   | 1500 | 0.1877          | 0.8178    | 0.8702 | 0.8432 | 0.9591   |
+| 0.0745        | 6.8   | 2000 | 0.1873          | 0.8340    | 0.8786 | 0.8557 | 0.9606   |
+| 0.0513        | 8.5   | 2500 | 0.2075          | 0.8287    | 0.8799 | 0.8535 | 0.9596   |
 
 
 ### Framework versions

model.safetensors

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 size 2235760364

runs/Mar04_23-34-24_g11/events.out.tfevents.1709591665.g11.840720.1

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 version https://git-lfs.github.com/spec/v1
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+size 10791