End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4675
+- Loss: 0.0014
 
 ## Model description
 
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 3    | 1.6240          |
-| No log        | 2.0   | 6    | 0.7506          |
-| No log        | 3.0   | 9    | 0.4675          |
+| No log        | 1.0   | 23   | 0.0451          |
+| No log        | 2.0   | 46   | 0.0015          |
+| No log        | 3.0   | 69   | 0.0014          |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.2
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1

config.json

@@ -20,6 +20,6 @@
   "sinusoidal_pos_embds": true,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.41.2",
+  "transformers_version": "4.42.4",
   "vocab_size": 28996
 }

model.safetensors

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training_args.bin

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