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: 0.1613
-- F1: 0.8606
+- Loss: 0.1612
+- F1: 0.8573
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2938        | 1.0   | 715  | 0.1905          | 0.8057 |
-| 0.1488        | 2.0   | 1430 | 0.1621          | 0.8502 |
-| 0.0959        | 3.0   | 2145 | 0.1613          | 0.8606 |
+| 0.2802        | 1.0   | 715  | 0.1743          | 0.8292 |
+| 0.1475        | 2.0   | 1430 | 0.1613          | 0.8459 |
+| 0.0951        | 3.0   | 2145 | 0.1612          | 0.8573 |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.0
+- Transformers 4.36.2
+- Pytorch 1.13.1+cu116
+- Datasets 2.16.1
 - Tokenizers 0.15.0

config.json

@@ -40,7 +40,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.35.2",
+  "transformers_version": "4.36.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

model.safetensors

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training_args.bin

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