End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/bert_uncased_L-4_H-256_A-4
+base_model: vaibhav9/bert-mini-hangman
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-mini-hangman
 
-This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset.
+This model is a fine-tuned version of [vaibhav9/bert-mini-hangman](https://huggingface.co/vaibhav9/bert-mini-hangman) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1503
+- Loss: nan
 
 ## Model description
 
@@ -35,25 +35,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 2.1854        | 1.0   | 22730 | 2.1673          |
-| 2.1853        | 2.0   | 45460 | 2.1555          |
-| 2.1886        | 3.0   | 68190 | 2.1503          |
+| 1.5549        | 1.0   | 2609  | nan             |
+| 1.5426        | 2.0   | 5218  | nan             |
+| 1.5294        | 3.0   | 7827  | nan             |
+| 1.5251        | 4.0   | 10436 | nan             |
+| 1.5043        | 5.0   | 13045 | nan             |
 
 
 ### Framework versions
 
 - Transformers 4.33.2
-- Pytorch 2.0.1+cu118
+- Pytorch 2.0.1
 - Datasets 2.14.5
 - Tokenizers 0.13.3

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/bert_uncased_L-4_H-256_A-4",
+  "_name_or_path": "vaibhav9/bert-mini-hangman",
   "architectures": [
     "BertForMaskedLM"
   ],

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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