KarthikAlagarsamy commited on
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End of training

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README.md CHANGED
@@ -2,22 +2,18 @@
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  license: apache-2.0
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  base_model: distilbert-base-uncased
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  tags:
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- - generated_from_keras_callback
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  model-index:
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- - name: KarthikAlagarsamy/my_awesome_qa_model
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  results: []
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  ---
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- <!-- This model card has been generated automatically according to the information Keras had access to. You should
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- probably proofread and complete it, then remove this comment. -->
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- # KarthikAlagarsamy/my_awesome_qa_model
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Train Loss: 5.9255
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- - Validation Loss: 5.9239
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- - Epoch: 0
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  ## Model description
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@@ -36,19 +32,24 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - 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}
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- - training_precision: float32
 
 
 
 
 
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  ### Training results
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- | Train Loss | Validation Loss | Epoch |
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- |:----------:|:---------------:|:-----:|
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- | 5.9255 | 5.9239 | 0 |
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  ### Framework versions
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  - Transformers 4.38.2
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- - TensorFlow 2.15.0
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  license: apache-2.0
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  base_model: distilbert-base-uncased
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  tags:
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+ - generated_from_trainer
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  model-index:
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+ - name: my_awesome_qa_model
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  results: []
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  ---
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+ # my_awesome_qa_model
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 
 
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 1
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 3 | 5.8633 |
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  ### Framework versions
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  - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
config.json CHANGED
@@ -18,6 +18,7 @@
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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  "transformers_version": "4.38.2",
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  "vocab_size": 30522
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  }
 
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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+ "torch_dtype": "float32",
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  "transformers_version": "4.38.2",
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  "vocab_size": 30522
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  }
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