Model save

README.md

@@ -14,8 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-DouRC
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.2796
 
 ## Model description
 
@@ -35,25 +33,16 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 50
+- eval_batch_size: 50
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 79   | 1.1982          |
-| No log        | 2.0   | 158  | 1.2529          |
-| No log        | 3.0   | 237  | 1.2796          |
-
+- num_epochs: 5
 
 ### Framework versions
 
-- Transformers 4.41.1
+- Transformers 4.41.2
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.2
 - Tokenizers 0.19.1

config.json

@@ -19,6 +19,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.41.1",
+  "transformers_version": "4.41.2",
   "vocab_size": 30522
 }

model.safetensors

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training_args.bin

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