Model save

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 5.6364
+- Loss: 5.6181
 
 ## Model description
 
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 4    | 5.7994          |
-| No log        | 2.0   | 8    | 5.6849          |
-| No log        | 3.0   | 12   | 5.6364          |
+| No log        | 1.0   | 4    | 5.7673          |
+| No log        | 2.0   | 8    | 5.6615          |
+| No log        | 3.0   | 12   | 5.6181          |
 
 
 ### Framework versions
 
-- Transformers 4.36.0
+- Transformers 4.35.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.15.0
 - Tokenizers 0.15.0

config.json

@@ -19,6 +19,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.36.0",
+  "transformers_version": "4.35.2",
   "vocab_size": 30522
 }

model.safetensors

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runs/Dec12_04-47-16_c73b14b26b6f/events.out.tfevents.1702356436.c73b14b26b6f.348.0

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training_args.bin

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