Training in progress epoch 0

README.md

@@ -2,20 +2,22 @@
 license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
-- generated_from_trainer
+- generated_from_keras_callback
 model-index:
-- name: my_awesome_qa_model
+- name: jomacgo/my_awesome_qa_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_qa_model
+# jomacgo/my_awesome_qa_model
 
 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: 1.8475
+- Train Loss: 2.4180
+- Validation Loss: 0.9110
+- Epoch: 0
 
 ## Model description
 
@@ -34,26 +36,19 @@ 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 150, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.4809          |
-| 2.7859        | 2.0   | 500  | 1.9966          |
-| 2.7859        | 3.0   | 750  | 1.8475          |
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 2.4180     | 0.9110          | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.37.2
-- Pytorch 2.1.0+cu121
+- TensorFlow 2.12.0
 - Datasets 2.16.1
 - Tokenizers 0.15.1

config.json

@@ -18,7 +18,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "torch_dtype": "float32",
   "transformers_version": "4.37.2",
   "vocab_size": 30522
 }

tf_model.h5

@@ -0,0 +1,3 @@
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+oid sha256:694e98eaf04c360d563e3360361d80e553527f1fb7cd6d7f48db740176a6a206
+size 265583592