End of training

README.md

@@ -1,8 +1,6 @@
 ---
 tags:
 - generated_from_trainer
-datasets:
-- wikitext
 model-index:
 - name: Bert-Base-Uncased-Pretrained
   results: []
@@ -13,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Bert-Base-Uncased-Pretrained
 
-This model is a fine-tuned version of [](https://huggingface.co/) on the wikitext dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.2052
+- Loss: 7.1925
 
 ## Model description
 
@@ -48,12 +46,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 50   | 7.2096          |
+| No log        | 1.0   | 50   | 7.2354          |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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generation_config.json

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 {
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 }

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 220
 arguing
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 1901
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 praising
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 tested
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 1850
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 commercially
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 rim
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 tapes
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 104
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 1899
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 fights
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 1874
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 digit
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 ambition
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 zhang
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 duarte
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 1858
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 creature
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 privile
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 wool
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 indians
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 wart
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 tears
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 uh
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 brush
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 preach
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 zoe
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 actresses
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 robust
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 qualities
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 1829
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 extract
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 132
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 205
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 1775
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 grief
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 deme
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 1804
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 qd
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 laf
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 247
 268
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 264
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 puri
 purification
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 permanence
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 ceresville
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 shit
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 365
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 greenwood
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 stepmother
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 recreate
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 1649
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 bathroom
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 b5
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 bigh
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 hz
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 hent
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 æthel
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 arisen
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 branson
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 overp
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 overcoming
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 jejuri
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 robotic
 deepe
 deepest
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 ratios
 reinstate
 envy
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 325
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 seriousness
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 scramble
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 909
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 garde
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 mechanized
 mechanization
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 ridot
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 snowfall
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 731
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 levitating
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 1774
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 initiating
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 1229
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 1624
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 vertebr
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 sankat
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 1679
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 donaldson
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 icelandic
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 ##kke
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 ##ос
 thym
 theob
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 ##andam
 ##andum
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 shp
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 shiv
 shun
 shack