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: 1.4239
-- Accuracy: 0.4477
+- Loss: 1.3866
+- Accuracy: 0.4310
 
 ## 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  | 1.3910          | 0.3884   |
-| 1.4129        | 2.0   | 776  | 1.2983          | 0.4284   |
-| 0.9746        | 3.0   | 1164 | 1.4239          | 0.4477   |
+| 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   |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 2.1.0+cu118
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Transformers 4.37.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

@@ -38,7 +38,7 @@
   "summary_type": "first",
   "summary_use_proj": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
+  "transformers_version": "4.37.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 31002

model.safetensors

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 size 439443036

training_args.bin

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