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 [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0757
+- Loss: 1.4194
 
 ## Model description
 
@@ -40,47 +40,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 35
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 237  | 1.9155          |
-| No log        | 2.0   | 474  | 1.8080          |
-| 2.1076        | 3.0   | 711  | 1.7998          |
-| 2.1076        | 4.0   | 948  | 1.6789          |
-| 1.729         | 5.0   | 1185 | 1.6023          |
-| 1.729         | 6.0   | 1422 | 1.5996          |
-| 1.4949        | 7.0   | 1659 | 1.5250          |
-| 1.4949        | 8.0   | 1896 | 1.4521          |
-| 1.3437        | 9.0   | 2133 | 1.4227          |
-| 1.3437        | 10.0  | 2370 | 1.4164          |
-| 1.1716        | 11.0  | 2607 | 1.3883          |
-| 1.1716        | 12.0  | 2844 | 1.3573          |
-| 1.0851        | 13.0  | 3081 | 1.3602          |
-| 1.0851        | 14.0  | 3318 | 1.2873          |
-| 0.9756        | 15.0  | 3555 | 1.2825          |
-| 0.9756        | 16.0  | 3792 | 1.2744          |
-| 0.9178        | 17.0  | 4029 | 1.2702          |
-| 0.9178        | 18.0  | 4266 | 1.2629          |
-| 0.8283        | 19.0  | 4503 | 1.2731          |
-| 0.8283        | 20.0  | 4740 | 1.1455          |
-| 0.8283        | 21.0  | 4977 | 1.2067          |
-| 0.7733        | 22.0  | 5214 | 1.1868          |
-| 0.7733        | 23.0  | 5451 | 1.1915          |
-| 0.7167        | 24.0  | 5688 | 1.1226          |
-| 0.7167        | 25.0  | 5925 | 1.1329          |
-| 0.681         | 26.0  | 6162 | 1.1684          |
-| 0.681         | 27.0  | 6399 | 1.1707          |
-| 0.6346        | 28.0  | 6636 | 1.0747          |
-| 0.6346        | 29.0  | 6873 | 1.1317          |
-| 0.6035        | 30.0  | 7110 | 1.1026          |
-| 0.6035        | 31.0  | 7347 | 1.1029          |
-| 0.5947        | 32.0  | 7584 | 1.0896          |
-| 0.5947        | 33.0  | 7821 | 1.1341          |
-| 0.5426        | 34.0  | 8058 | 1.0862          |
-| 0.5426        | 35.0  | 8295 | 1.0757          |
+| 2.0236        | 1.0   | 581  | 1.7083          |
+| 1.8282        | 2.0   | 1162 | 1.6452          |
+| 1.6842        | 3.0   | 1743 | 1.5066          |
+| 1.5534        | 4.0   | 2324 | 1.4436          |
+| 1.4659        | 5.0   | 2905 | 1.4194          |
 
 
 ### Framework versions

config.json

@@ -1,7 +1,7 @@
 {
   "_name_or_path": "distilroberta-base",
   "architectures": [
-    "RobertaForCausalLM"
+    "RobertaForMaskedLM"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,

model.safetensors

@@ -1,3 +1,3 @@
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runs/Jan07_19-50-54_2c2be611b99b/events.out.tfevents.1704657723.2c2be611b99b.440.2

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training_args.bin

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