Training in progress epoch 0

README.md

@@ -3,18 +3,20 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: decision-distilbert-uncased
+- name: AnaniyaX/decision-distilbert-uncased
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# decision-distilbert-uncased
+# AnaniyaX/decision-distilbert-uncased
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-
+- Train Loss: 0.5755
+- Train Accuracy: 0.8520
+- Epoch: 0
 
 ## Model description
 
@@ -38,6 +40,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Train Loss | Train Accuracy | Epoch |
+|:----------:|:--------------:|:-----:|
+| 0.5755     | 0.8520         | 0     |
 
 
 ### Framework versions

special_tokens_map.json

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

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c86a6616d91abac1eeef92ad6928bf83eb976f90dc4277e49742e2810bad4a26
+oid sha256:0db06b6b956f067528d0b542452d5ce3f509dad58f71df51065f9a13420d2684
 size 267955144

tokenizer_config.json

@@ -0,0 +1,13 @@
+{
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}