Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.7185
-- Train End Logits Accuracy: 0.5917
-- Train Start Logits Accuracy: 0.5638
-- Validation Loss: 2.0391
-- Validation End Logits Accuracy: 0.5252
-- Validation Start Logits Accuracy: 0.4886
-- Epoch: 1
+- Train Loss: 2.3101
+- Train End Logits Accuracy: 0.5128
+- Train Start Logits Accuracy: 0.5040
+- Validation Loss: 2.0900
+- Validation End Logits Accuracy: 0.5237
+- Validation Start Logits Accuracy: 0.4869
+- Epoch: 0
 
 ## Model description
 
@@ -40,20 +40,19 @@ 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': 6786, '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}
+- 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': 22620, '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
 
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 2.3543     | 0.5058                    | 0.4992                      | 2.0820          | 0.5253                         | 0.4917                           | 0     |
-| 1.7185     | 0.5917                    | 0.5638                      | 2.0391          | 0.5252                         | 0.4886                           | 1     |
+| 2.3101     | 0.5128                    | 0.5040                      | 2.0900          | 0.5237                         | 0.4869                           | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
+- Transformers 4.39.3
 - TensorFlow 2.15.0
-- Datasets 2.19.0
-- Tokenizers 0.19.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -19,6 +19,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.40.1",
+  "transformers_version": "4.39.3",
   "vocab_size": 28996
 }

logs/train/events.out.tfevents.1714812347.8f02ccfbe71c.214.0.v2

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tf_model.h5

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tokenizer_config.json

@@ -45,7 +45,7 @@
   "cls_token": "[CLS]",
   "do_lower_case": false,
   "mask_token": "[MASK]",
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+  "model_max_length": 512,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,