shawhin/distilbert-base-uncased-lora-text-classification

README.md

@@ -8,7 +8,6 @@ metrics:
 model-index:
 - name: distilbert-base-uncased-lora-text-classification
   results: []
-library_name: peft
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -64,7 +63,6 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.5.0
 - Transformers 4.32.1
 - Pytorch 2.1.0.dev20230905
 - Datasets 2.14.4

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,14 @@
+{
+  "add_prefix_space": true,
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
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+size 4600