Training completed!

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1639
-- F1: 0.8591
+- Loss: 0.1607
+- F1: 0.8600
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2836        | 1.0   | 715  | 0.1859          | 0.8212 |
-| 0.1484        | 2.0   | 1430 | 0.1632          | 0.8487 |
-| 0.0953        | 3.0   | 2145 | 0.1639          | 0.8591 |
+| 0.2779        | 1.0   | 715  | 0.1803          | 0.8250 |
+| 0.1445        | 2.0   | 1430 | 0.1599          | 0.8461 |
+| 0.0938        | 3.0   | 2145 | 0.1607          | 0.8600 |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -40,7 +40,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.40.2",
+  "transformers_version": "4.41.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

model.safetensors

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 size 1109860880

training_args.bin

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