Training complete

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: mrm8488/electricidad-base-discriminator
 tags:
 - classification
 - generated_from_trainer
@@ -16,8 +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: 1.3271
-- Accuracy: 0.4761
+- Loss: 1.4609
+- Accuracy: 0.4465
 
 ## Model description
 
@@ -48,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 388  | 1.3033          | 0.4052   |
-| 1.3863        | 2.0   | 776  | 1.2351          | 0.4813   |
-| 0.9614        | 3.0   | 1164 | 1.3271          | 0.4761   |
+| No log        | 1.0   | 388  | 1.3366          | 0.3974   |
+| 1.4           | 2.0   | 776  | 1.3290          | 0.4271   |
+| 0.9736        | 3.0   | 1164 | 1.4609          | 0.4465   |
 
 
 ### Framework versions
 
-- Transformers 4.26.0
-- Pytorch 1.13.1+cu116
-- Datasets 2.9.0
-- Tokenizers 0.13.2
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

@@ -38,7 +38,7 @@
   "summary_type": "first",
   "summary_use_proj": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.26.0",
+  "transformers_version": "4.35.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 31002

model.safetensors

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+size 439443036

tokenizer_config.json

@@ -1,14 +1,55 @@
 {
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 1000000000000000019884624838656,
-  "name_or_path": "mrm8488/electricidad-base-discriminator",
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
-  "special_tokens_map_file": null,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "ElectraTokenizer",

training_args.bin

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-size 3515
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+size 4600