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: KarthikAlagarsamy/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
+# KarthikAlagarsamy/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: 5.8070
+- Train Loss: 5.9228
+- Validation Loss: 5.9355
+- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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   | 3    | 5.8810          |
-| No log        | 2.0   | 6    | 5.8290          |
-| No log        | 3.0   | 9    | 5.8070          |
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 5.9228     | 5.9355          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.38.0
-- Pytorch 2.2.2+cpu
-- Datasets 2.17.0
+- Transformers 4.38.2
+- TensorFlow 2.15.0
+- Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -18,7 +18,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "torch_dtype": "float32",
-  "transformers_version": "4.38.0",
+  "transformers_version": "4.38.2",
   "vocab_size": 30522
 }

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b5cc8b6d9e4963d31d9508e5106f586dcb2bc8d84767ecf7db5d305c8c8db07
+size 265583592

tokenizer.json

@@ -1,7 +1,21 @@
 {
   "version": "1.0",
-  "truncation": null,
-  "padding": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 384,
+    "strategy": "OnlySecond",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": {
+      "Fixed": 384
+    },
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,