End of training

README.md

@@ -1,6 +1,5 @@
 ---
 license: mit
-base_model: roberta-base
 tags:
 - generated_from_trainer
 model-index:
@@ -15,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6896
+- Loss: 0.6905
 
 ## Model description
 
@@ -47,13 +46,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6909        | 1.0   | 18   | 0.6931          |
-| 0.6897        | 2.0   | 36   | 0.6896          |
+| 0.6937        | 1.0   | 18   | 0.6927          |
+| 0.6944        | 2.0   | 36   | 0.6905          |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.0.1
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.26.1
+- Pytorch 2.1.0+cpu
+- Datasets 2.10.1
+- Tokenizers 0.13.2

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merges.txt

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-#version: 0.2
+#version: 0.2 - Trained by `huggingface/tokenizers`
 Ġ t
 Ġ a
 h e

pytorch_model.bin

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tokenizer.json

@@ -21,7 +21,7 @@
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
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       "special": true
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@@ -30,7 +30,7 @@
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     "end_of_word_suffix": "",
     "fuse_unk": false,
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tokenizer_config.json

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 {
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   "tokenizer_class": "RobertaTokenizer",
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