End of training

README.md

@@ -2,22 +2,25 @@
 license: apache-2.0
 base_model: distilbert/distilbert-base-uncased
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
 model-index:
-- name: RachelLe/qa_model
+- name: qa_model
   results: []
 ---
 
-<!-- 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. -->
+<!-- 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. -->
 
-# RachelLe/qa_model
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/letra1712-conestoga-college/huggingface/runs/wyx4r9gk)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/letra1712-conestoga-college/huggingface/runs/wyx4r9gk)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/letra1712-conestoga-college/huggingface/runs/wyx4r9gk)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/letra1712-conestoga-college/huggingface/runs/wyx4r9gk)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/letra1712-conestoga-college/huggingface/runs/wyx4r9gk)
+# qa_model
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.6028
-- Validation Loss: 1.7398
-- Epoch: 2
+- Loss: 1.9837
 
 ## Model description
 
@@ -36,21 +39,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- 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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 500, '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
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 3.4437     | 2.0338          | 0     |
-| 1.8689     | 1.7398          | 1     |
-| 1.6028     | 1.7398          | 2     |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 125  | 3.1307          |
+| No log        | 2.0   | 250  | 2.1535          |
+| No log        | 3.0   | 375  | 1.9837          |
 
 
 ### Framework versions
 
 - Transformers 4.42.3
-- TensorFlow 2.15.0
+- Pytorch 2.1.2
 - Datasets 2.20.0
 - Tokenizers 0.19.1

runs/Jul28_05-59-25_9c14f7206d44/events.out.tfevents.1722146365.9c14f7206d44.34.4

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