End of training

README.md

@@ -2,26 +2,11 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- test_data_huggingface
 metrics:
 - f1
 model-index:
 - name: test_model
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: test_data_huggingface
-      type: test_data_huggingface
-      config: default
-      split: test
-      args: default
-    metrics:
-    - name: F1
-      type: f1
-      value: 0.8808660461929578
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_model
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the test_data_huggingface dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6842
-- F1: 0.8809
+- Loss: 1.4401
+- F1: 0.6002
 
 ## Model description
 
@@ -52,7 +37,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 32
+- train_batch_size: 64
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -63,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 47   | 1.0471          | 0.6157 |
-| No log        | 2.0   | 94   | 0.7371          | 0.6955 |
-| No log        | 3.0   | 141  | 0.6842          | 0.8809 |
+| No log        | 1.0   | 176  | 1.2690          | 0.5778 |
+| 1.5547        | 2.0   | 352  | 1.3403          | 0.5824 |
+| 0.9024        | 3.0   | 528  | 1.4401          | 0.6002 |
 
 
 ### Framework versions
 
-- Transformers 4.29.1
+- Transformers 4.27.1
 - Pytorch 2.0.1+cu117
-- Datasets 2.12.0
+- Datasets 2.6.1
 - Tokenizers 0.13.3

logs/events.out.tfevents.1686760955.ls.3626797.0

@@ -1,3 +1,3 @@
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-size 5712
+oid sha256:85acc19c0c3fe4d47de65004e9cc20ae4192efb81d66cba37a27b3ebebaa9f54
+size 6066

tokenizer_config.json

@@ -1,11 +1,11 @@
 {
-  "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]",
+  "special_tokens_map_file": null,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "BertTokenizer",