End of training

README.md

@@ -2,22 +2,18 @@
 license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
 model-index:
-- name: joseTfm/my_awesome_qa_model
+- name: my_awesome_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. -->
 
-# joseTfm/my_awesome_qa_model
+# 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:
-- Train Loss: 1.4719
-- Validation Loss: 1.6862
-- Epoch: 2
 
 ## Model description
 
@@ -36,21 +32,24 @@ 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: 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: 1
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 3.3604     | 1.9486          | 0     |
-| 1.7205     | 1.6862          | 1     |
-| 1.4719     | 1.6862          | 2     |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 156  | 2.2019          |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
-- TensorFlow 2.15.0
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.1

config.json

@@ -18,6 +18,7 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.37.2",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
   "vocab_size": 30522
 }

model.safetensors

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runs/Feb06_10-00-53_5321c0e67d1e/events.out.tfevents.1707213653.5321c0e67d1e.5698.0

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runs/Feb06_10-05-21_5321c0e67d1e/events.out.tfevents.1707213922.5321c0e67d1e.5698.1

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training_args.bin

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