End of training

README.md

@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # topicclassify_roberta-base_ng
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.6365
 
 ## Model description
 
@@ -44,62 +42,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 50
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 8    | 2.3860          |
-| 2.4191        | 2.0   | 16   | 2.3819          |
-| 2.3782        | 3.0   | 24   | 2.3747          |
-| 2.3916        | 4.0   | 32   | 2.3645          |
-| 2.3684        | 5.0   | 40   | 2.3507          |
-| 2.3684        | 6.0   | 48   | 2.3336          |
-| 2.3351        | 7.0   | 56   | 2.3078          |
-| 2.3004        | 8.0   | 64   | 2.2660          |
-| 2.2395        | 9.0   | 72   | 2.1492          |
-| 2.1171        | 10.0  | 80   | 2.0108          |
-| 2.1171        | 11.0  | 88   | 1.9561          |
-| 1.9637        | 12.0  | 96   | 1.8987          |
-| 1.8614        | 13.0  | 104  | 1.8365          |
-| 1.5772        | 14.0  | 112  | 1.7732          |
-| 1.3709        | 15.0  | 120  | 1.7141          |
-| 1.3709        | 16.0  | 128  | 1.6833          |
-| 1.0789        | 17.0  | 136  | 1.6628          |
-| 0.8387        | 18.0  | 144  | 1.6431          |
-| 0.6901        | 19.0  | 152  | 1.6693          |
-| 0.5079        | 20.0  | 160  | 1.6365          |
-| 0.5079        | 21.0  | 168  | 1.6810          |
-| 0.3348        | 22.0  | 176  | 1.7289          |
-| 0.2514        | 23.0  | 184  | 1.7938          |
-| 0.1799        | 24.0  | 192  | 1.8653          |
-| 0.136         | 25.0  | 200  | 1.8664          |
-| 0.136         | 26.0  | 208  | 2.0561          |
-| 0.0884        | 27.0  | 216  | 1.9570          |
-| 0.0572        | 28.0  | 224  | 2.0407          |
-| 0.0482        | 29.0  | 232  | 2.0549          |
-| 0.0287        | 30.0  | 240  | 2.1033          |
-| 0.0287        | 31.0  | 248  | 2.1545          |
-| 0.0203        | 32.0  | 256  | 2.2210          |
-| 0.0138        | 33.0  | 264  | 2.2864          |
-| 0.011         | 34.0  | 272  | 2.3884          |
-| 0.0097        | 35.0  | 280  | 2.4863          |
-| 0.0097        | 36.0  | 288  | 2.4634          |
-| 0.0084        | 37.0  | 296  | 2.4587          |
-| 0.0073        | 38.0  | 304  | 2.4804          |
-| 0.0063        | 39.0  | 312  | 2.5137          |
-| 0.0061        | 40.0  | 320  | 2.5542          |
-| 0.0061        | 41.0  | 328  | 2.5758          |
-| 0.0055        | 42.0  | 336  | 2.5782          |
-| 0.0051        | 43.0  | 344  | 2.5991          |
-| 0.0048        | 44.0  | 352  | 2.6235          |
-| 0.0042        | 45.0  | 360  | 2.6597          |
-| 0.0042        | 46.0  | 368  | 2.6941          |
-| 0.0039        | 47.0  | 376  | 2.7132          |
-| 0.0037        | 48.0  | 384  | 2.6993          |
-| 0.0033        | 49.0  | 392  | 2.7146          |
-| 0.0033        | 50.0  | 400  | 2.7414          |
-
-
 ### Framework versions
 
 - Transformers 4.46.0

config.json

@@ -32,7 +32,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.46.0",
   "type_vocab_size": 1,

model.safetensors

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training_args.bin

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+size 5240