Versione 1 epoch

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: moro01525/BERT_MLM
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 model-index:
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # BERT_MLM
 
-This model is a fine-tuned version of [moro01525/BERT_MLM](https://huggingface.co/moro01525/BERT_MLM) on an unknown dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 
 ## Model description
 
@@ -32,7 +32,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 0.0002
 - train_batch_size: 8
 - eval_batch_size: 4
 - seed: 42

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "moro01525/BERT_MLM",
+  "_name_or_path": "distilbert/distilbert-base-uncased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForMaskedLM"

model.safetensors

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runs/Jul23_08-58-37_90dbed34a13e/events.out.tfevents.1721725124.90dbed34a13e.867.0

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training_args.bin

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