End of training

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-base_model: microsoft/infoxlm-large
+base_model: tringuyen-uit/MRC_ER_InfoXLM-large_syl_ViWikiFC
 tags:
 - generated_from_trainer
 metrics:
@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # MRC_ER_InfoXLM-large_syl_ViWikiFC
 
-This model is a fine-tuned version of [microsoft/infoxlm-large](https://huggingface.co/microsoft/infoxlm-large) on the None dataset.
+This model is a fine-tuned version of [tringuyen-uit/MRC_ER_InfoXLM-large_syl_ViWikiFC](https://huggingface.co/tringuyen-uit/MRC_ER_InfoXLM-large_syl_ViWikiFC) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6036
-- Exact Match: 0.8048
-- F1: 0.8275
+- Loss: 3.0554
+- Exact Match: 0.8014
+- F1: 0.8226
 
 ## Model description
 
@@ -44,20 +44,19 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Exact Match | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
-| 0.8547        | 1.0   | 8369  | 2.5690          | 0.7880      | 0.8113 |
-| 0.5547        | 2.0   | 16738 | 2.5258          | 0.7923      | 0.8224 |
-| 0.2617        | 3.0   | 25107 | 2.6036          | 0.8048      | 0.8275 |
+| 0.4434        | 1.0   | 8369  | 2.8731          | 0.7904      | 0.8126 |
+| 0.2108        | 2.0   | 16738 | 3.0554          | 0.8014      | 0.8226 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.2.1
+- Pytorch 2.4.0
 - Datasets 2.21.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:189eb0d5138f54e4a4da19ac5ecedef3d265a1760b9bb0b47ed1351d5338be43
 size 2235420048