End of training

README.md

@@ -1,6 +1,5 @@
 ---
 license: apache-2.0
-base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8136639898903447
+      value: 0.9231109184950563
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4394
-- F1: 0.8137
+- Loss: 0.3604
+- F1: 0.9231
 
 ## Model description
 
@@ -53,23 +52,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 8
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.6265        | 1.0   | 626  | 1.4394          | 0.8137 |
+| No log        | 1.0   | 157  | 1.8492          | 0.6818 |
+| 2.8429        | 2.0   | 314  | 0.7977          | 0.8704 |
+| 0.8817        | 3.0   | 471  | 0.4966          | 0.9071 |
+| 0.3842        | 4.0   | 628  | 0.3884          | 0.9196 |
+| 0.3842        | 5.0   | 785  | 0.3604          | 0.9231 |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
-- Pytorch 2.0.1
-- Datasets 2.14.5
+- Transformers 4.27.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.9.0
 - Tokenizers 0.13.3

logs/events.out.tfevents.1694140185.f3b3fb09da5a.714.0

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+size 11710

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",