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 [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2802
+- Loss: 2.4845
 
 ## Model description
 
@@ -35,20 +35,37 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 384
-- eval_batch_size: 384
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3.0
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 3    | 3.1431          |
-| No log        | 2.0   | 6    | 2.3357          |
-| No log        | 3.0   | 9    | 2.9466          |
+| 3.4514        | 1.0   | 17   | 2.7126          |
+| 2.8858        | 2.0   | 34   | 2.2124          |
+| 2.6941        | 3.0   | 51   | 2.7717          |
+| 2.704         | 4.0   | 68   | 2.8004          |
+| 2.5674        | 5.0   | 85   | 2.9648          |
+| 2.4679        | 6.0   | 102  | 2.3775          |
+| 2.4074        | 7.0   | 119  | 2.2347          |
+| 2.4651        | 8.0   | 136  | 2.6914          |
+| 2.3944        | 9.0   | 153  | 2.1919          |
+| 2.4347        | 10.0  | 170  | 2.5820          |
+| 2.4214        | 11.0  | 187  | 2.6333          |
+| 2.3458        | 12.0  | 204  | 2.4690          |
+| 2.3471        | 13.0  | 221  | 2.1549          |
+| 2.3521        | 14.0  | 238  | 2.8202          |
+| 2.4039        | 15.0  | 255  | 3.3286          |
+| 2.3449        | 16.0  | 272  | 2.4369          |
+| 2.329         | 17.0  | 289  | 2.1589          |
+| 2.3293        | 18.0  | 306  | 1.9620          |
+| 2.2919        | 19.0  | 323  | 2.3828          |
+| 2.3209        | 20.0  | 340  | 2.2413          |
 
 
 ### Framework versions

pytorch_model.bin

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tokenizer.json

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   "version": "1.0",
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-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
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-  "padding": {
-    "strategy": "BatchLongest",
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 0,
-    "pad_type_id": 0,
-    "pad_token": "[PAD]"
-  },
+  "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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