Model save

README.md

@@ -1,6 +1,4 @@
 ---
-license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_fancy_model
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3781
+- Loss: 0.5050
 
 ## Model description
 
@@ -46,8 +44,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 32   | 0.3878          |
-| No log        | 2.0   | 64   | 0.3781          |
+| No log        | 1.0   | 32   | 0.5050          |
+| No log        | 2.0   | 64   | 0.5081          |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert/distilbert-base-uncased",
+  "_name_or_path": "../models/my_fancy_model",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:c17feb2a7626425c2583edb39bdb3b953b9802055e0c66b878d8baecb29cd2f6
+oid sha256:977524e86ad18dc72739f9fe4539cd2908f9d1cb83d6e1a17752da955c329e2e
 size 267832560

special_tokens_map.json

@@ -1,7 +1,37 @@
 {
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
 }

tokenizer_config.json

@@ -45,11 +45,15 @@
   "cls_token": "[CLS]",
   "do_lower_case": true,
   "mask_token": "[MASK]",
+  "max_length": 32,
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
+  "stride": 0,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "DistilBertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]"
 }

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:d1bcaf821a6e72fbb3bb372aaaaa5e0151c821067ef39828f1923410f9cbf9ba
 size 4984