Training in progress epoch 0

README.md

@@ -1,20 +1,22 @@
 ---
 license: apache-2.0
 tags:
-- generated_from_trainer
-datasets:
-- squad
+- generated_from_keras_callback
 model-index:
-- name: distilbert-base-uncased-finetuned-squad
+- name: thamaine/distilbert-base-uncased-finetuned-squad
   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. -->
 
-# distilbert-base-uncased-finetuned-squad
+# thamaine/distilbert-base-uncased-finetuned-squad
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad 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:
+- Train Loss: 1.5438
+- Validation Loss: 1.2152
+- Epoch: 0
 
 ## Model description
 
@@ -33,17 +35,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5532, '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
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 1.5438     | 1.2152          | 0     |
+
 
 ### Framework versions
 
-- Transformers 4.18.0
-- Pytorch 1.10.0+cu111
-- Datasets 2.1.0
+- Transformers 4.19.2
+- TensorFlow 2.8.0
+- Datasets 2.2.1
 - Tokenizers 0.12.1

config.json

@@ -18,7 +18,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "torch_dtype": "float32",
-  "transformers_version": "4.18.0",
+  "transformers_version": "4.19.2",
   "vocab_size": 30522
 }

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