Training complete

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3866
-- Accuracy: 0.4310
+- Loss: 1.4819
+- Accuracy: 0.4361
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 388  | 1.3671          | 0.4013   |
-| 1.4072        | 2.0   | 776  | 1.3045          | 0.4284   |
-| 1.0284        | 3.0   | 1164 | 1.3866          | 0.4310   |
+| No log        | 1.0   | 388  | 1.3371          | 0.3806   |
+| 1.3886        | 2.0   | 776  | 1.3403          | 0.4245   |
+| 0.9595        | 3.0   | 1164 | 1.4819          | 0.4361   |
 
 
 ### Framework versions
 
-- Transformers 4.37.1
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -38,7 +38,7 @@
   "summary_type": "first",
   "summary_use_proj": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.37.1",
+  "transformers_version": "4.39.3",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 31002

model.safetensors

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training_args.bin

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