End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2591
-- Accuracy: 0.9140
-- F1: 0.9138
+- Loss: 0.2674
+- Accuracy: 0.9032
+- F1: 0.9032
 
 ## Model description
 
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 236  | 0.3098          | 0.8919   | 0.8917 |
-| No log        | 2.0   | 472  | 0.2591          | 0.9140   | 0.9138 |
+| No log        | 1.0   | 236  | 0.3131          | 0.8877   | 0.8878 |
+| No log        | 2.0   | 472  | 0.2674          | 0.9032   | 0.9032 |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.1.0+cu121
+- Transformers 4.39.3
+- Pytorch 2.2.2+cpu
 - Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -30,6 +30,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.39.3",
   "vocab_size": 30522
 }

model.safetensors

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training_args.bin

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