Training completed!

README.md

@@ -17,7 +17,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2731
+- Loss: 0.2637
 - F1: 0.8447
 
 ## Model description
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5823        | 1.0   | 191  | 0.3000          | 0.7951 |
-| 0.264         | 2.0   | 382  | 0.2782          | 0.8208 |
-| 0.177         | 3.0   | 573  | 0.2731          | 0.8447 |
+| 0.5535        | 1.0   | 191  | 0.2988          | 0.8052 |
+| 0.25          | 2.0   | 382  | 0.2680          | 0.8215 |
+| 0.1748        | 3.0   | 573  | 0.2637          | 0.8447 |
 
 
 ### 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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 size 1109860880

training_args.bin

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