Training in progress, epoch 1

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: 0.6433
+- Loss: 0.2989
 
 ## Model description
 
@@ -45,13 +45,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.7156        | 1.0   | 15   | 0.6982          |
-| 0.6966        | 2.0   | 30   | 0.6876          |
-| 0.682         | 3.0   | 45   | 0.6740          |
-| 0.6392        | 4.0   | 60   | 0.6590          |
-| 0.6008        | 5.0   | 75   | 0.6433          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4657        | 1.0   | 3749  | 0.4377          |
+| 0.6627        | 2.0   | 7498  | 0.6735          |
+| 0.4577        | 3.0   | 11247 | 0.5359          |
+| 0.3058        | 4.0   | 14996 | 0.4099          |
+| 0.2336        | 5.0   | 18745 | 0.2989          |
 
 
 ### Framework versions

config.json

@@ -20,9 +20,8 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "repository_id": "maxschlake/roberta-base_disaster_tweets_downpour",
   "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
+  "transformers_version": "4.37.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

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