Model save

README.md

@@ -34,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
 - lr_scheduler_type: cosine
@@ -48,6 +48,6 @@ The following hyperparameters were used during training:
 
 - PEFT 0.11.1
 - Transformers 4.41.2
-- Pytorch 2.1.2
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.2
 - Tokenizers 0.19.1

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": null,
+  "base_model_name_or_path": "distilbert-base-uncased",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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-size 2521452
+oid sha256:405bbc888bf3a3d3474766068b7e20dd65b94fae5f3cece8d2ab1f309e184195
+size 2521180

tokenizer_config.json

@@ -1,4 +1,5 @@
 {
+  "add_prefix_space": true,
   "added_tokens_decoder": {
     "0": {
       "content": "[PAD]",

training_args.bin

@@ -1,3 +1,3 @@
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 size 5112