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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3318
+- Loss: 0.5021
 
 ## Model description
 
@@ -41,27 +41,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 15
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 1.4742        | 1.0   | 5857  | 0.8359          |
-| 0.9365        | 2.0   | 11714 | 0.6467          |
-| 1.8497        | 3.0   | 17571 | 0.5304          |
-| 0.753         | 4.0   | 23428 | 0.4921          |
-| 0.4901        | 5.0   | 29285 | 0.5169          |
-| 0.7175        | 6.0   | 35142 | 0.4813          |
-| 0.0008        | 7.0   | 40999 | 0.4698          |
-| 0.0008        | 8.0   | 46856 | 0.3147          |
-| 0.0008        | 9.0   | 52713 | 0.3711          |
-| 0.7494        | 10.0  | 58570 | 0.3409          |
-| 0.0003        | 11.0  | 64427 | 0.3408          |
-| 0.0002        | 12.0  | 70284 | 0.2894          |
-| 0.0002        | 13.0  | 76141 | 0.3420          |
-| 0.0001        | 14.0  | 81998 | 0.3494          |
-| 0.0001        | 15.0  | 87855 | 0.3318          |
+| 0.4371        | 1.0   | 5793  | 0.5762          |
+| 0.1862        | 2.0   | 11586 | 0.4519          |
+| 0.0005        | 3.0   | 17379 | 0.4133          |
+| 0.1534        | 4.0   | 23172 | 0.4680          |
+| 0.0014        | 5.0   | 28965 | 0.5915          |
+| 0.0002        | 6.0   | 34758 | 0.4650          |
+| 0.0001        | 7.0   | 40551 | 0.5831          |
+| 0.0001        | 8.0   | 46344 | 0.4274          |
+| 0.0           | 9.0   | 52137 | 0.4874          |
+| 0.0           | 10.0  | 57930 | 0.5021          |
 
 
 ### Framework versions

config.json

@@ -19,6 +19,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.41.2",
   "type_vocab_size": 1,

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training_args.bin

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