End of training

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"
@@ -7,6 +7,7 @@
   "attention_dropout": 0.1,
   "dim": 768,
   "dropout": 0.1,
+  "finetuning_task": "sst-2",
   "hidden_dim": 3072,
   "id2label": {
     "0": "NEGATIVE",
@@ -21,6 +22,7 @@
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
+  "output_past": true,
   "pad_token_id": 0,
   "problem_type": "single_label_classification",
   "qa_dropout": 0.1,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:40f03bb931a7caabbca8813f881ce91651f9b1de50617064aaee8a5becb2b236
 size 267854125

tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
-  "truncation": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
   "padding": null,
   "added_tokens": [
     {

tokenizer_config.json

@@ -1,9 +1,11 @@
 {
   "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "name_or_path": "distilbert-base-uncased",
+  "name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
+  "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "special_tokens_map_file": null,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:2b490da34e2076685ab35deab811abf1526628f4a350e8cc29df26c12f2ae5bf
 size 3451