Training in progress epoch 0

README.md

@@ -1,38 +1,23 @@
 ---
 license: apache-2.0
 tags:
-- generated_from_trainer
-datasets:
-- imdb
-metrics:
-- accuracy
+- generated_from_keras_callback
 model-index:
-- name: my_awesome_model
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: imdb
-      type: imdb
-      config: plain_text
-      split: train
-      args: plain_text
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.93148
+- name: stevhliu/my_awesome_model
+  results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+<!-- 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. -->
 
-# my_awesome_model
+# stevhliu/my_awesome_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
+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:
-- Loss: 0.3551
-- Accuracy: 0.9315
+- Train Loss: 0.2518
+- Validation Loss: 0.1859
+- Train Accuracy: 0.9261
+- Epoch: 0
 
 ## Model description
 
@@ -51,24 +36,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 1
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7810, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0961        | 1.0   | 3125 | 0.3551          | 0.9315   |
+| Train Loss | Validation Loss | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 0.2518     | 0.1859          | 0.9261         | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.22.2
-- Pytorch 1.12.1+cu113
+- TensorFlow 2.8.2
 - Datasets 2.5.1
 - Tokenizers 0.12.1

config.json

@@ -14,12 +14,10 @@
   "n_heads": 12,
   "n_layers": 6,
   "pad_token_id": 0,
-  "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "torch_dtype": "float32",
   "transformers_version": "4.22.2",
   "vocab_size": 30522
 }

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b66247d63df41ea64a092f39caf99f1b4133bc0218b8f80dccb001967dddab9a
+size 267951896